MouseComputer DT9-KK
Geekbench AI Score
433
Single Precision Score
468
Half Precision Score
782
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | ya5utaka |
| Upload Date | August 22 2025 09:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MouseComputer DT9-KK |
| Motherboard | MouseComputer Z490M-S01 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 80.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
454
84.4 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.5 IPS |
|
|
Image Classification (Q)
|
100% |
428
79.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
557
9.06 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
2.80 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
4.50 IPS |
|
|
Pose Estimation (Q)
|
97% |
2211
2.59 IPS |
|
|
Object Detection (SP)
|
100% |
495
39.2 IPS |
|
|
Object Detection (HP)
|
98% |
495
39.4 IPS |
|
|
Object Detection (Q)
|
86% |
446
35.9 IPS |
|
|
Face Detection (SP)
|
100% |
1014
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1093
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
896
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1756
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2129
16.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
1562
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6239
8.02 IPS |
|
|
Style Transfer (HP)
|
100% |
9348
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
5494
7.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1166
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
937
34.7 IPS |
|
|
Text Classification (SP)
|
100% |
308
411.4 IPS |
|
|
Text Classification (HP)
|
100% |
251
334.5 IPS |
|
|
Text Classification (Q)
|
97% |
207
277.8 IPS |
|
|
Machine Translation (SP)
|
100% |
408
7.02 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.83 IPS |
|
|
Machine Translation (Q)
|
70% |
244
4.58 IPS |
