Micro Computer (HK) Tech Limited UM690
Geekbench AI Score
11735
Single Precision Score
13680
Half Precision Score
9056
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 26 2025 02:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600M XT |
| 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% |
5195
966.1 IPS |
|
|
Image Classification (HP)
|
100% |
5578
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
4504
837.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6055
98.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5472
88.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5466
88.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
84865
99.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
124507
145.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
73669
86.3 IPS |
|
|
Object Detection (SP)
|
100% |
4806
381.2 IPS |
|
|
Object Detection (HP)
|
99% |
6460
512.4 IPS |
|
|
Object Detection (Q)
|
87% |
4138
332.4 IPS |
|
|
Face Detection (SP)
|
100% |
13347
158.6 IPS |
|
|
Face Detection (HP)
|
100% |
15942
189.4 IPS |
|
|
Face Detection (Q)
|
97% |
12102
144.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
37099
285.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
43321
333.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
28442
228.1 IPS |
|
|
Style Transfer (SP)
|
100% |
142145
182.7 IPS |
|
|
Style Transfer (HP)
|
100% |
200550
257.8 IPS |
|
|
Style Transfer (Q)
|
98% |
122676
158.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20947
773.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24765
914.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15128
560.2 IPS |
|
|
Text Classification (SP)
|
100% |
1603
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1671
2.23 KIPS |
|
|
Text Classification (Q)
|
97% |
871
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1634
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1632
28.1 IPS |
|
|
Machine Translation (Q)
|
70% |
889
16.7 IPS |
