Micro Computer (HK) Tech Limited V3
Geekbench AI Score
2636
Single Precision Score
776
Half Precision Score
3898
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | TBayliss |
| Upload Date | September 04 2024 10:54 AM |
| Views | 8 |
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 | Optimized Power Saver |
| 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% |
1492
277.6 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.1 IPS |
|
|
Image Classification (Q)
|
99% |
4435
827.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1127
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
225
3.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
2059
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4518
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3803
4.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
21073
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
1760
139.6 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
88% |
2069
165.8 IPS |
|
|
Face Detection (SP)
|
100% |
2610
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
297
3.53 IPS |
|
|
Face Detection (Q)
|
97% |
4240
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5689
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
991
7.64 IPS |
|
|
Depth Estimation (Q)
|
76% |
8204
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11898
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10109
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23151
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2348
86.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1930
71.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3261
120.8 IPS |
|
|
Text Classification (SP)
|
100% |
1807
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
411
550.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1620
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1887
42.1 IPS |
