Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
199
Single Precision Score
14582
Half Precision Score
31203
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | August 03 2025 02:13 PM |
| Views | 7 |
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% |
71
13.2 IPS |
|
|
Image Classification (HP)
|
100% |
9154
1.70 KIPS |
|
|
Image Classification (Q)
|
99% |
15341
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
119
1.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
7655
124.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16436
267.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
677
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
70170
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
235589
276.1 IPS |
|
|
Object Detection (SP)
|
100% |
76
6.01 IPS |
|
|
Object Detection (HP)
|
100% |
9577
759.7 IPS |
|
|
Object Detection (Q)
|
92% |
17259
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
204
2.42 IPS |
|
|
Face Detection (HP)
|
100% |
21798
259.0 IPS |
|
|
Face Detection (Q)
|
97% |
49601
591.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
239
1.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
40760
314.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
91777
732.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1712
2.20 IPS |
|
|
Style Transfer (HP)
|
98% |
56261
72.5 IPS |
|
|
Style Transfer (Q)
|
98% |
237095
305.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
158
5.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26647
984.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
54206
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
91
121.8 IPS |
|
|
Text Classification (HP)
|
100% |
2042
2.73 KIPS |
|
|
Text Classification (Q)
|
95% |
3043
4.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
188
3.24 IPS |
|
|
Machine Translation (HP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (Q)
|
67% |
4794
93.3 IPS |
