Micro Computer (HK) Tech Limited Venus series
Geekbench ML Score
4829
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 05:46 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 | Balanserat |
| 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 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2549
476.9 IPS |
|
|
Image Classification (F16)
|
100% |
2549
476.9 IPS |
|
|
Image Classification (I8)
|
100% |
2171
406.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2721
45.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2630
43.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2284
38.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
36252
43.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
36081
43.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
28901
35.0 IPS |
|
|
Object Detection (F32)
|
100% |
1622
121.1 IPS |
|
|
Object Detection (F16)
|
100% |
1493
111.5 IPS |
|
|
Object Detection (I8)
|
62% |
1436
107.2 IPS |
|
|
Face Detection (F32)
|
100% |
5060
60.2 IPS |
|
|
Face Detection (F16)
|
100% |
5082
60.4 IPS |
|
|
Face Detection (I8)
|
89% |
3928
46.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15049
116.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
15103
117.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
12289
95.3 IPS |
|
|
Style Transfer (F32)
|
100% |
29577
38.9 IPS |
|
|
Style Transfer (F16)
|
100% |
29697
39.1 IPS |
|
|
Style Transfer (I8)
|
98% |
25164
33.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5859
209.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5867
209.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4533
161.9 IPS |
|
|
Text Classification (F32)
|
100% |
1385
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
1344
1.93 KIPS |
|
|
Text Classification (I8)
|
98% |
1173
1.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
1707
31.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2071
38.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1444
26.6 IPS |
