Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
2760
Single Precision Score
2788
Half Precision Score
1896
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | DougQuaid666 |
| Upload Date | August 16 2024 11:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | Micro Computer (HK) Tech Limited Venus series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSC |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.26 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 54.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1973
366.9 IPS |
|
|
Image Classification (HP)
|
100% |
2005
372.8 IPS |
|
|
Image Classification (Q)
|
99% |
1478
275.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2886
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2915
47.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1270
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3332
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3346
3.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
3919
4.59 IPS |
|
|
Object Detection (SP)
|
100% |
2116
167.8 IPS |
|
|
Object Detection (HP)
|
100% |
2151
170.6 IPS |
|
|
Object Detection (Q)
|
86% |
1305
105.0 IPS |
|
|
Face Detection (SP)
|
100% |
3244
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (Q)
|
97% |
2745
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3348
25.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
3388
26.1 IPS |
|
|
Depth Estimation (Q)
|
74% |
2642
21.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4045
5.20 IPS |
|
|
Style Transfer (HP)
|
100% |
4027
5.18 IPS |
|
|
Style Transfer (Q)
|
98% |
6711
8.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2014
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2015
74.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1806
66.9 IPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (Q)
|
92% |
965
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3234
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3396
58.5 IPS |
|
|
Machine Translation (Q)
|
58% |
741
17.4 IPS |
