ASUS System Product Name
Geekbench ML Score
16902
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 06 2024 12:12 PM |
| Views | 3 |
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 (WI-FI) |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 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 | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8511
1.59 KIPS |
|
|
Image Classification (F16)
|
100% |
8711
1.63 KIPS |
|
|
Image Classification (I8)
|
100% |
5740
1.07 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13418
224.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
13020
217.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
9534
159.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
125397
151.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
125575
152.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
97706
118.3 IPS |
|
|
Object Detection (F32)
|
100% |
5719
427.0 IPS |
|
|
Object Detection (F16)
|
100% |
5687
424.5 IPS |
|
|
Object Detection (I8)
|
56% |
4498
335.8 IPS |
|
|
Face Detection (F32)
|
100% |
26514
315.3 IPS |
|
|
Face Detection (F16)
|
100% |
26937
320.3 IPS |
|
|
Face Detection (I8)
|
89% |
18247
217.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
53899
418.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
49671
385.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
31519
244.4 IPS |
|
|
Style Transfer (F32)
|
100% |
245442
322.9 IPS |
|
|
Style Transfer (F16)
|
100% |
225069
296.1 IPS |
|
|
Style Transfer (I8)
|
98% |
164907
216.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
33285
1.19 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
33931
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
19159
684.2 IPS |
|
|
Text Classification (F32)
|
100% |
2473
3.55 KIPS |
|
|
Text Classification (F16)
|
100% |
2460
3.54 KIPS |
|
|
Text Classification (I8)
|
98% |
1295
1.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
3934
72.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3884
71.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1655
30.5 IPS |
