Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
206
Single Precision Score
14735
Half Precision Score
31869
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | August 03 2025 03:59 AM |
| Views | 6 |
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% |
65
12.1 IPS |
|
|
Image Classification (HP)
|
100% |
9206
1.71 KIPS |
|
|
Image Classification (Q)
|
99% |
15203
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
126
2.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
7766
125.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15913
258.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
720
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
69902
81.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
236189
276.8 IPS |
|
|
Object Detection (SP)
|
100% |
78
6.22 IPS |
|
|
Object Detection (HP)
|
100% |
10351
821.1 IPS |
|
|
Object Detection (Q)
|
92% |
17849
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
210
2.49 IPS |
|
|
Face Detection (HP)
|
100% |
21989
261.3 IPS |
|
|
Face Detection (Q)
|
97% |
51436
613.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
250
1.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
40835
314.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
94145
751.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1802
2.32 IPS |
|
|
Style Transfer (HP)
|
98% |
56536
72.9 IPS |
|
|
Style Transfer (Q)
|
98% |
243725
314.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
170
6.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26433
976.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
53147
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
96
128.1 IPS |
|
|
Text Classification (HP)
|
100% |
2027
2.71 KIPS |
|
|
Text Classification (Q)
|
95% |
3336
4.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
195
3.36 IPS |
|
|
Machine Translation (HP)
|
100% |
3430
59.1 IPS |
|
|
Machine Translation (Q)
|
67% |
5065
98.6 IPS |
