MouseComputer S4I7G60SRDDC
Geekbench AI Score
17017
Single Precision Score
29020
Half Precision Score
13432
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 07:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MouseComputer S4I7G60SRDDC |
| Motherboard | MouseComputer V540TND-SJ |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6876
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
11763
2.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6299
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12669
205.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17702
287.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11458
186.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
79422
92.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
236912
276.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
74173
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
8510
675.0 IPS |
|
|
Object Detection (HP)
|
100% |
15359
1.22 KIPS |
|
|
Object Detection (Q)
|
84% |
7531
607.4 IPS |
|
|
Face Detection (SP)
|
100% |
21690
257.7 IPS |
|
|
Face Detection (HP)
|
100% |
34686
412.2 IPS |
|
|
Face Detection (Q)
|
97% |
19412
231.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
37288
287.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
74178
573.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
31500
252.6 IPS |
|
|
Style Transfer (SP)
|
100% |
134166
172.5 IPS |
|
|
Style Transfer (HP)
|
100% |
349564
449.4 IPS |
|
|
Style Transfer (Q)
|
98% |
118409
152.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26913
993.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43996
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19754
731.5 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
3274
4.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1715
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4006
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4317
74.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1934
36.3 IPS |
