Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1237
Single Precision Score
15037
Half Precision Score
32262
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | July 31 2025 01:48 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% |
551
102.4 IPS |
|
|
Image Classification (HP)
|
100% |
9750
1.81 KIPS |
|
|
Image Classification (Q)
|
99% |
16530
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
7841
127.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16952
275.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2375
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
70534
82.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
240922
282.4 IPS |
|
|
Object Detection (SP)
|
100% |
701
55.6 IPS |
|
|
Object Detection (HP)
|
100% |
10581
839.3 IPS |
|
|
Object Detection (Q)
|
92% |
18420
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
1254
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
22829
271.3 IPS |
|
|
Face Detection (Q)
|
97% |
52248
623.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1543
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
40287
310.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
96822
772.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6620
8.51 IPS |
|
|
Style Transfer (HP)
|
98% |
57091
73.6 IPS |
|
|
Style Transfer (Q)
|
98% |
252167
325.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1157
42.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27710
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56638
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
852
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (Q)
|
95% |
2957
3.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1374
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3370
58.0 IPS |
|
|
Machine Translation (Q)
|
67% |
4599
89.5 IPS |
