Micro Computer (HK) Tech Limited V3
Geekbench AI Score
2944
Single Precision Score
1521
Half Precision Score
3770
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | xtoofur |
| Upload Date | October 28 2024 08:17 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8840U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited V3 |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd HPPAC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1792
333.2 IPS |
|
|
Image Classification (HP)
|
100% |
560
104.2 IPS |
|
|
Image Classification (Q)
|
99% |
4563
851.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1202
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
838
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2327
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5766
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
4690
5.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
22178
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
2089
165.7 IPS |
|
|
Object Detection (HP)
|
100% |
705
55.9 IPS |
|
|
Object Detection (Q)
|
88% |
2083
167.0 IPS |
|
|
Face Detection (SP)
|
100% |
2834
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
1494
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
4527
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6435
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2409
18.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
4638
37.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13254
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12483
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22825
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2228
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2050
75.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3183
117.9 IPS |
|
|
Text Classification (SP)
|
100% |
1953
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
729
973.5 IPS |
|
|
Text Classification (Q)
|
97% |
421
563.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1794
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1844
41.1 IPS |
