Micro Computer (HK) Tech Limited Venus series
Geekbench ML Score
5115
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | September 13 2024 04:32 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 F7BSD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| 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 | 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% |
2568
480.5 IPS |
|
|
Image Classification (F16)
|
100% |
2820
527.8 IPS |
|
|
Image Classification (I8)
|
100% |
2293
429.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2705
45.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2712
45.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2315
38.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
37126
45.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
36962
44.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
26836
32.5 IPS |
|
|
Object Detection (F32)
|
100% |
1746
130.4 IPS |
|
|
Object Detection (F16)
|
100% |
1779
132.8 IPS |
|
|
Object Detection (I8)
|
62% |
1660
124.0 IPS |
|
|
Face Detection (F32)
|
100% |
5395
64.1 IPS |
|
|
Face Detection (F16)
|
100% |
5337
63.5 IPS |
|
|
Face Detection (I8)
|
89% |
4183
49.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15257
118.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
15783
122.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
12854
99.7 IPS |
|
|
Style Transfer (F32)
|
100% |
29958
39.4 IPS |
|
|
Style Transfer (F16)
|
100% |
29853
39.3 IPS |
|
|
Style Transfer (I8)
|
98% |
25849
34.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5829
208.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5806
207.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4585
163.7 IPS |
|
|
Text Classification (F32)
|
100% |
1493
2.15 KIPS |
|
|
Text Classification (F16)
|
100% |
1477
2.12 KIPS |
|
|
Text Classification (I8)
|
98% |
1251
1.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
2386
43.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2432
44.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1610
29.6 IPS |
