Micro Computer (HK) Tech Limited Venus series
Geekbench ML Score
5405
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 07:33 AM |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2983
558.1 IPS |
|
|
Image Classification (F16)
|
100% |
2963
554.5 IPS |
|
|
Image Classification (I8)
|
100% |
2531
473.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2794
46.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2772
46.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2362
39.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
37785
45.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
38462
46.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
28553
34.6 IPS |
|
|
Object Detection (F32)
|
100% |
1998
149.1 IPS |
|
|
Object Detection (F16)
|
100% |
1976
147.5 IPS |
|
|
Object Detection (I8)
|
62% |
1775
132.5 IPS |
|
|
Face Detection (F32)
|
100% |
5440
64.7 IPS |
|
|
Face Detection (F16)
|
100% |
5458
64.9 IPS |
|
|
Face Detection (I8)
|
89% |
4230
50.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16206
125.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
16976
131.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
13005
100.9 IPS |
|
|
Style Transfer (F32)
|
100% |
30624
40.3 IPS |
|
|
Style Transfer (F16)
|
100% |
30366
39.9 IPS |
|
|
Style Transfer (I8)
|
98% |
25974
34.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6147
219.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6197
221.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4709
168.2 IPS |
|
|
Text Classification (F32)
|
100% |
1639
2.36 KIPS |
|
|
Text Classification (F16)
|
100% |
1592
2.29 KIPS |
|
|
Text Classification (I8)
|
98% |
1359
1.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
2624
48.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2611
48.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1720
31.7 IPS |
