Micro Computer (HK) Tech Limited V3 (CPU/OpenVINO) Micro Computer (HK) Tech Limited V3
Geekbench AI Score
4718
Single Precision Score
4655
Half Precision Score
13493
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TechHut |
| Upload Date | October 16 2024 07:00 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8840U w/ Radeon 780M Graphics |
| 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% |
3317
616.8 IPS |
|
|
Image Classification (HP)
|
100% |
3359
624.8 IPS |
|
|
Image Classification (Q)
|
100% |
8875
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1846
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1854
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7386
119.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6425
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
6524
7.61 IPS |
|
|
Pose Estimation (Q)
|
98% |
25852
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
2913
231.0 IPS |
|
|
Object Detection (HP)
|
100% |
2929
232.3 IPS |
|
|
Object Detection (Q)
|
88% |
9384
752.2 IPS |
|
|
Face Detection (SP)
|
100% |
6492
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
6349
75.4 IPS |
|
|
Face Detection (Q)
|
100% |
22090
262.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7889
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7457
57.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
22933
178.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17790
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17965
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
67939
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3893
143.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3685
136.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13093
484.9 IPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3323
4.44 KIPS |
|
|
Text Classification (Q)
|
92% |
5220
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4107
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3859
66.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5349
92.1 IPS |
