MouseComputer DT9-KK
Geekbench AI Score
3617
Single Precision Score
1519
Half Precision Score
5760
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | ya5utaka |
| Upload Date | August 22 2025 09:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900K |
| 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% |
3494
649.8 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.7 IPS |
|
|
Image Classification (Q)
|
96% |
5435
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1687
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
6612
107.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7786
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
5424
6.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
13803
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2057
163.2 IPS |
|
|
Object Detection (HP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (Q)
|
58% |
3677
401.8 IPS |
|
|
Face Detection (SP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
1297
15.4 IPS |
|
|
Face Detection (Q)
|
96% |
7406
88.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6947
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1971
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
11272
89.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17370
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10377
13.3 IPS |
|
|
Style Transfer (Q)
|
87% |
15067
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2780
102.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2073
76.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4941
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
1754
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
868
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1290
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2093
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2750
53.1 IPS |
