HONOR BRN-HXXB
Geekbench ML Score
4463
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 04 2024 07:32 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HONOR BRN-HXXB |
| Motherboard | HONOR BRN-HXXB-PCB |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7640HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 760M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2073
387.9 IPS |
|
|
Image Classification (F16)
|
100% |
2103
393.5 IPS |
|
|
Image Classification (I8)
|
100% |
1879
351.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1714
28.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1728
28.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1547
25.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
34485
41.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
34773
42.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
26331
31.9 IPS |
|
|
Object Detection (F32)
|
100% |
1464
109.3 IPS |
|
|
Object Detection (F16)
|
100% |
1509
112.6 IPS |
|
|
Object Detection (I8)
|
62% |
1590
118.7 IPS |
|
|
Face Detection (F32)
|
100% |
5052
60.1 IPS |
|
|
Face Detection (F16)
|
100% |
5126
61.0 IPS |
|
|
Face Detection (I8)
|
89% |
3983
47.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
14592
113.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
14291
110.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
11858
92.0 IPS |
|
|
Style Transfer (F32)
|
100% |
24952
32.8 IPS |
|
|
Style Transfer (F16)
|
100% |
25331
33.3 IPS |
|
|
Style Transfer (I8)
|
98% |
25117
33.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4405
157.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4402
157.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3562
127.2 IPS |
|
|
Text Classification (F32)
|
100% |
1532
2.20 KIPS |
|
|
Text Classification (F16)
|
100% |
1560
2.24 KIPS |
|
|
Text Classification (I8)
|
98% |
1238
1.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
2438
44.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2456
45.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1500
27.6 IPS |
