Micro Computer (HK) Tech Limited V3
Geekbench AI Score
6392
Single Precision Score
8706
Half Precision Score
4804
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 11 2024 12:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD 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 | Bilanciato |
| 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% |
1974
367.2 IPS |
|
|
Image Classification (HP)
|
100% |
3200
595.2 IPS |
|
|
Image Classification (Q)
|
100% |
1741
323.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3687
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4081
66.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3047
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
33999
39.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
55009
64.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
27122
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
2243
177.9 IPS |
|
|
Object Detection (HP)
|
100% |
2729
216.5 IPS |
|
|
Object Detection (Q)
|
89% |
1835
146.9 IPS |
|
|
Face Detection (SP)
|
100% |
5182
61.6 IPS |
|
|
Face Detection (HP)
|
100% |
8271
98.3 IPS |
|
|
Face Detection (Q)
|
97% |
4011
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14328
110.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20142
155.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
11232
90.6 IPS |
|
|
Style Transfer (SP)
|
100% |
59080
75.9 IPS |
|
|
Style Transfer (HP)
|
100% |
87849
112.9 IPS |
|
|
Style Transfer (Q)
|
98% |
41077
53.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10706
395.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16978
626.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6677
247.2 IPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2608
3.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1704
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1939
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1970
33.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1178
26.3 IPS |
