Micro Computer (HK) Tech Limited V3
Geekbench AI Score
4670
Single Precision Score
4831
Half Precision Score
13620
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | TBayliss |
| Upload Date | September 04 2024 10:57 AM |
| Views | 8 |
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 | 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% |
3299
613.5 IPS |
|
|
Image Classification (HP)
|
100% |
3465
644.3 IPS |
|
|
Image Classification (Q)
|
100% |
9191
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1730
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6473
104.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6636
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
6692
7.81 IPS |
|
|
Pose Estimation (Q)
|
98% |
26604
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
2749
218.0 IPS |
|
|
Object Detection (HP)
|
100% |
2962
234.9 IPS |
|
|
Object Detection (Q)
|
88% |
9615
770.7 IPS |
|
|
Face Detection (SP)
|
100% |
6384
75.9 IPS |
|
|
Face Detection (HP)
|
100% |
6155
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
21147
251.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7878
60.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
8286
63.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
22243
176.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18241
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
18398
23.7 IPS |
|
|
Style Transfer (Q)
|
98% |
71976
92.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3888
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4116
152.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13539
501.4 IPS |
|
|
Text Classification (SP)
|
100% |
3327
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (Q)
|
92% |
4800
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3994
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4174
71.9 IPS |
|
|
Machine Translation (Q)
|
85% |
6561
114.7 IPS |
