Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
208
Single Precision Score
14777
Half Precision Score
31808
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | August 03 2025 04:19 AM |
| 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% |
67
12.4 IPS |
|
|
Image Classification (HP)
|
100% |
9037
1.68 KIPS |
|
|
Image Classification (Q)
|
99% |
15355
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
122
1.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
7785
126.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15974
259.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
713
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
70092
81.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232855
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
78
6.16 IPS |
|
|
Object Detection (HP)
|
100% |
10365
822.2 IPS |
|
|
Object Detection (Q)
|
92% |
18126
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
219
2.61 IPS |
|
|
Face Detection (HP)
|
100% |
22672
269.4 IPS |
|
|
Face Detection (Q)
|
97% |
52163
622.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
254
1.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
40084
308.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
94469
754.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1807
2.32 IPS |
|
|
Style Transfer (HP)
|
98% |
56591
73.0 IPS |
|
|
Style Transfer (Q)
|
98% |
245325
316.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
174
6.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27601
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54902
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
100
133.6 IPS |
|
|
Text Classification (HP)
|
100% |
2002
2.67 KIPS |
|
|
Text Classification (Q)
|
95% |
3177
4.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
197
3.39 IPS |
|
|
Machine Translation (HP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (Q)
|
67% |
4857
94.5 IPS |
