Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
2587
Single Precision Score
1363
Half Precision Score
4644
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | tuldok89 |
| Upload Date | November 08 2024 09:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1607
298.9 IPS |
|
|
Image Classification (HP)
|
100% |
497
92.5 IPS |
|
|
Image Classification (Q)
|
99% |
4123
769.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
755
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3453
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4776
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4007
4.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
21723
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
1757
139.4 IPS |
|
|
Object Detection (HP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (Q)
|
88% |
1813
145.3 IPS |
|
|
Face Detection (SP)
|
100% |
3193
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
5127
61.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5627
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2105
16.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
5128
41.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11333
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10194
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24707
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1726
63.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3182
117.8 IPS |
|
|
Text Classification (SP)
|
100% |
1699
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
720
960.9 IPS |
|
|
Text Classification (Q)
|
97% |
1700
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1963
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2370
52.9 IPS |
