Micro Computer (HK) Tech Limited V3 (DirectML/ONNX) Micro Computer (HK) Tech Limited V3
Geekbench AI Score
6653
Single Precision Score
8696
Half Precision Score
4756
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TechHut |
| Upload Date | October 16 2024 07:03 PM |
| Views | 13 |
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 | 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% |
2363
439.4 IPS |
|
|
Image Classification (HP)
|
100% |
3536
657.6 IPS |
|
|
Image Classification (Q)
|
100% |
1742
324.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3680
59.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4152
67.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3013
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
35055
40.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
56856
66.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26819
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2192
173.9 IPS |
|
|
Object Detection (HP)
|
100% |
2658
210.9 IPS |
|
|
Object Detection (Q)
|
89% |
1796
143.7 IPS |
|
|
Face Detection (SP)
|
100% |
5116
60.8 IPS |
|
|
Face Detection (HP)
|
100% |
8254
98.1 IPS |
|
|
Face Detection (Q)
|
97% |
4058
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14680
113.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19582
150.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
11077
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
57136
73.4 IPS |
|
|
Style Transfer (HP)
|
100% |
88366
113.6 IPS |
|
|
Style Transfer (Q)
|
98% |
41866
54.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10996
406.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16532
610.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6709
248.4 IPS |
|
|
Text Classification (SP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2496
3.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1572
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2467
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1181
26.3 IPS |
