MouseComputer DT9-KK
Geekbench AI Score
18411
Single Precision Score
30695
Half Precision Score
14915
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | ya5utaka |
| Upload Date | August 22 2025 09:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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% |
7322
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
12648
2.35 KIPS |
|
|
Image Classification (Q)
|
100% |
6818
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10926
177.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13925
225.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10308
167.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
117802
137.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
336225
392.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
110453
129.4 IPS |
|
|
Object Detection (SP)
|
100% |
9225
731.7 IPS |
|
|
Object Detection (HP)
|
100% |
14339
1.14 KIPS |
|
|
Object Detection (Q)
|
83% |
8016
647.7 IPS |
|
|
Face Detection (SP)
|
100% |
22253
264.4 IPS |
|
|
Face Detection (HP)
|
100% |
30660
364.3 IPS |
|
|
Face Detection (Q)
|
97% |
20233
241.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
50090
385.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
93478
720.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
40808
325.7 IPS |
|
|
Style Transfer (SP)
|
100% |
162700
209.2 IPS |
|
|
Style Transfer (HP)
|
100% |
484434
622.7 IPS |
|
|
Style Transfer (Q)
|
98% |
141960
183.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29807
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53147
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23072
854.3 IPS |
|
|
Text Classification (SP)
|
100% |
3139
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3741
4.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2090
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3035
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1550
29.1 IPS |
