MF02 OEM Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
4304
Single Precision Score
1895
Half Precision Score
7258
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | brianrandell |
| Upload Date | February 15 2025 11:26 PM |
| Views | 14 |
| Notes | Micro Computer (HK) Tech Limited Venus series |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| 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 F7BSD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3736
694.7 IPS |
|
|
Image Classification (HP)
|
100% |
673
125.1 IPS |
|
|
Image Classification (Q)
|
99% |
8573
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
920
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3712
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7716
9.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
6333
7.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
27082
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
3439
272.8 IPS |
|
|
Object Detection (HP)
|
100% |
906
71.9 IPS |
|
|
Object Detection (Q)
|
86% |
8219
660.5 IPS |
|
|
Face Detection (SP)
|
100% |
6327
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
1939
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
11359
135.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9985
76.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2916
22.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6766
54.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18539
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15592
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29875
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2973
109.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2702
99.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3841
142.2 IPS |
|
|
Text Classification (SP)
|
100% |
2043
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1991
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2347
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3266
65.6 IPS |
