Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
193
Single Precision Score
14115
Half Precision Score
29812
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | August 22 2025 08:26 AM |
| Views | 3 |
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% |
62
11.5 IPS |
|
|
Image Classification (HP)
|
100% |
8656
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
13928
2.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
124
2.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
7722
125.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15818
257.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
669
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
68906
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232181
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
73
5.79 IPS |
|
|
Object Detection (HP)
|
100% |
9864
782.4 IPS |
|
|
Object Detection (Q)
|
92% |
16377
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
205
2.43 IPS |
|
|
Face Detection (HP)
|
100% |
21198
251.9 IPS |
|
|
Face Detection (Q)
|
97% |
47572
567.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
247
1.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
39497
304.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
90336
721.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1639
2.11 IPS |
|
|
Style Transfer (HP)
|
98% |
56224
72.5 IPS |
|
|
Style Transfer (Q)
|
98% |
240877
310.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
141
5.22 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25277
933.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
52881
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
95
126.3 IPS |
|
|
Text Classification (HP)
|
100% |
1792
2.39 KIPS |
|
|
Text Classification (Q)
|
95% |
2716
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
173
2.98 IPS |
|
|
Machine Translation (HP)
|
100% |
3241
55.8 IPS |
|
|
Machine Translation (Q)
|
67% |
4453
86.7 IPS |
