Micro Computer (HK) Tech Limited UM690
Geekbench AI Score
3039
Single Precision Score
1372
Half Precision Score
3820
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 26 2025 02:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 6900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited UM690 |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BFC |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 6900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2737
509.1 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.5 IPS |
|
|
Image Classification (Q)
|
96% |
4725
882.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
474
7.69 IPS |
|
|
Image Segmentation (Q)
|
97% |
1973
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5130
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
4247
4.96 IPS |
|
|
Pose Estimation (Q)
|
86% |
11036
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.3 IPS |
|
|
Object Detection (HP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (Q)
|
58% |
2494
272.5 IPS |
|
|
Face Detection (SP)
|
100% |
4710
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
1485
17.6 IPS |
|
|
Face Detection (Q)
|
96% |
7366
87.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7079
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2200
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10409
83.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12477
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9799
12.6 IPS |
|
|
Style Transfer (Q)
|
87% |
16733
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2205
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1885
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2628
97.4 IPS |
|
|
Text Classification (SP)
|
100% |
1717
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
395
529.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1871
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (Q)
|
68% |
1939
37.5 IPS |
