Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
192
Single Precision Score
14642
Half Precision Score
31185
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | July 29 2025 03:03 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
58
10.7 IPS |
|
|
Image Classification (HP)
|
100% |
8974
1.67 KIPS |
|
|
Image Classification (Q)
|
99% |
15200
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
113
1.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
7626
123.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15014
244.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
657
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
69815
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
229267
268.7 IPS |
|
|
Object Detection (SP)
|
100% |
72
5.71 IPS |
|
|
Object Detection (HP)
|
100% |
10087
800.1 IPS |
|
|
Object Detection (Q)
|
92% |
16978
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
194
2.30 IPS |
|
|
Face Detection (HP)
|
100% |
21464
255.0 IPS |
|
|
Face Detection (Q)
|
97% |
50686
604.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
226
1.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
40768
314.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
91283
728.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1630
2.09 IPS |
|
|
Style Transfer (HP)
|
98% |
57066
73.6 IPS |
|
|
Style Transfer (Q)
|
98% |
250685
323.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
150
5.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26839
991.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
56623
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
113
150.5 IPS |
|
|
Text Classification (HP)
|
100% |
2008
2.68 KIPS |
|
|
Text Classification (Q)
|
95% |
3131
4.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
186
3.21 IPS |
|
|
Machine Translation (HP)
|
100% |
3492
60.2 IPS |
|
|
Machine Translation (Q)
|
67% |
4763
92.7 IPS |
