MouseComputer W4I7G50BKACD
Geekbench AI Score
3848
Single Precision Score
5480
Half Precision Score
8771
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 06:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MouseComputer W4I7G50BKACD |
| Motherboard | MouseComputer N14PR2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2314
430.3 IPS |
|
|
Image Classification (HP)
|
100% |
3862
718.1 IPS |
|
|
Image Classification (Q)
|
99% |
5321
992.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3647
59.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5800
94.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7093
115.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7470
8.72 IPS |
|
|
Pose Estimation (HP)
|
99% |
5353
6.25 IPS |
|
|
Pose Estimation (Q)
|
97% |
23895
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2154
170.8 IPS |
|
|
Object Detection (HP)
|
100% |
3321
263.4 IPS |
|
|
Object Detection (Q)
|
90% |
5905
472.2 IPS |
|
|
Face Detection (SP)
|
100% |
6639
78.9 IPS |
|
|
Face Detection (HP)
|
100% |
10075
119.7 IPS |
|
|
Face Detection (Q)
|
100% |
15596
185.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7985
61.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12643
97.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
17234
134.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19410
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27963
35.9 IPS |
|
|
Style Transfer (Q)
|
98% |
53173
68.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3258
120.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5087
187.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10249
379.6 IPS |
|
|
Text Classification (SP)
|
71% |
1266
1.83 KIPS |
|
|
Text Classification (HP)
|
71% |
1460
2.11 KIPS |
|
|
Text Classification (Q)
|
92% |
1477
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2321
40.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2340
40.4 IPS |
