Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
3337
Single Precision Score
1513
Half Precision Score
6609
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tuldok89 |
| Upload Date | December 30 2024 09:23 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% |
3014
560.5 IPS |
|
|
Image Classification (HP)
|
100% |
534
99.3 IPS |
|
|
Image Classification (Q)
|
99% |
7853
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1056
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
780
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3512
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5105
5.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
4392
5.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
21805
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
2624
208.2 IPS |
|
|
Object Detection (HP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (Q)
|
86% |
7164
575.7 IPS |
|
|
Face Detection (SP)
|
100% |
5374
63.9 IPS |
|
|
Face Detection (HP)
|
100% |
1652
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
10475
124.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7209
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2350
18.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7378
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12790
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11178
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26407
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2198
81.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1994
73.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3488
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
1814
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
763
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1836
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2033
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2824
56.8 IPS |
