ASUS System Product Name
Geekbench ML Score
24549
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | milkmanjackal |
| Upload Date | July 06 2024 06:48 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 96.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12119
2.27 KIPS |
|
|
Image Classification (F16)
|
100% |
12243
2.29 KIPS |
|
|
Image Classification (I8)
|
100% |
9570
1.79 KIPS |
|
|
Image Segmentation (F32)
|
100% |
17609
294.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
17625
294.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
14947
249.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
210243
254.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
211324
255.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
171675
207.9 IPS |
|
|
Object Detection (F32)
|
100% |
6107
455.9 IPS |
|
|
Object Detection (F16)
|
100% |
6086
454.3 IPS |
|
|
Object Detection (I8)
|
56% |
5601
418.2 IPS |
|
|
Face Detection (F32)
|
100% |
34865
414.5 IPS |
|
|
Face Detection (F16)
|
100% |
34661
412.1 IPS |
|
|
Face Detection (I8)
|
89% |
26702
317.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
69647
540.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
72593
563.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
55140
427.6 IPS |
|
|
Style Transfer (F32)
|
100% |
356318
468.7 IPS |
|
|
Style Transfer (F16)
|
100% |
359186
472.5 IPS |
|
|
Style Transfer (I8)
|
98% |
288394
379.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
41569
1.48 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
42026
1.50 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
31845
1.14 KIPS |
|
|
Text Classification (F32)
|
100% |
3617
5.20 KIPS |
|
|
Text Classification (F16)
|
100% |
3589
5.16 KIPS |
|
|
Text Classification (I8)
|
98% |
2488
3.58 KIPS |
|
|
Machine Translation (F32)
|
100% |
4985
91.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4953
91.1 IPS |
|
|
Machine Translation (I8)
|
70% |
3263
60.1 IPS |
