MF2 Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
7993
Single Precision Score
11787
Half Precision Score
5933
Quantized Score
Geekbench AI 1.4.0 Pro for Windows AVX2
Result Information
| User | brianrandell |
| Upload Date | August 31 2025 08:52 PM |
| Views | 4 |
| Notes | Micro Computer (HK) Tech Limited Venus series |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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% |
3016
560.9 IPS |
|
|
Image Classification (HP)
|
100% |
4968
923.8 IPS |
|
|
Image Classification (Q)
|
100% |
2863
532.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3918
63.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4842
78.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3179
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
40940
47.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
77321
90.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
29023
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
2728
216.4 IPS |
|
|
Object Detection (HP)
|
100% |
3893
308.8 IPS |
|
|
Object Detection (Q)
|
87% |
2541
204.1 IPS |
|
|
Face Detection (SP)
|
100% |
5964
70.9 IPS |
|
|
Face Detection (HP)
|
100% |
11011
130.8 IPS |
|
|
Face Detection (Q)
|
97% |
4971
59.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17049
131.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26690
205.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13257
106.3 IPS |
|
|
Style Transfer (SP)
|
100% |
72280
92.9 IPS |
|
|
Style Transfer (HP)
|
100% |
118402
152.2 IPS |
|
|
Style Transfer (Q)
|
98% |
47331
61.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14300
528.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20542
758.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8695
322.0 IPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2732
3.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1691
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3248
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3661
63.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1757
32.9 IPS |
