Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
2217
Single Precision Score
2243
Half Precision Score
1470
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | a0545 |
| Upload Date | January 03 2025 04:24 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Micro Computer (HK) Tech Limited Venus series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSD |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.14 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1606
298.6 IPS |
|
|
Image Classification (HP)
|
100% |
1582
294.3 IPS |
|
|
Image Classification (Q)
|
99% |
1165
217.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2230
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
980
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2741
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2721
3.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
3093
3.62 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.8 IPS |
|
|
Object Detection (HP)
|
100% |
1686
133.8 IPS |
|
|
Object Detection (Q)
|
85% |
943
75.9 IPS |
|
|
Face Detection (SP)
|
100% |
2649
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
2712
32.2 IPS |
|
|
Face Detection (Q)
|
97% |
2278
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2637
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2703
20.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1859
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3114
4.00 IPS |
|
|
Style Transfer (HP)
|
100% |
3202
4.12 IPS |
|
|
Style Transfer (Q)
|
98% |
5254
6.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1647
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1457
54.0 IPS |
|
|
Text Classification (SP)
|
100% |
1850
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1868
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
754
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2599
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2684
46.2 IPS |
|
|
Machine Translation (Q)
|
58% |
580
13.6 IPS |
