Micro Computer (HK) Tech Limited Venus series
Geekbench ML Score
21328
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 25 2024 06:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited Venus series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon PRO W7900 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9715
1.82 KIPS |
|
|
Image Classification (F16)
|
100% |
9098
1.70 KIPS |
|
|
Image Classification (I8)
|
100% |
8291
1.55 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12894
215.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
13174
220.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
12155
203.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
217893
263.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
243740
295.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
201678
244.2 IPS |
|
|
Object Detection (F32)
|
100% |
5425
405.0 IPS |
|
|
Object Detection (F16)
|
100% |
6278
468.7 IPS |
|
|
Object Detection (I8)
|
56% |
5381
401.7 IPS |
|
|
Face Detection (F32)
|
100% |
29900
355.5 IPS |
|
|
Face Detection (F16)
|
100% |
23022
273.7 IPS |
|
|
Face Detection (I8)
|
88% |
27009
321.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
69916
542.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
68346
530.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
58869
456.5 IPS |
|
|
Style Transfer (F32)
|
100% |
367924
484.0 IPS |
|
|
Style Transfer (F16)
|
100% |
366865
482.6 IPS |
|
|
Style Transfer (I8)
|
98% |
322682
424.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
40300
1.44 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
40519
1.45 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
33799
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2831
4.07 KIPS |
|
|
Text Classification (F16)
|
100% |
2783
4.00 KIPS |
|
|
Text Classification (I8)
|
98% |
1550
2.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
2780
51.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2775
51.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2102
38.7 IPS |
