Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
763
Single Precision Score
14949
Half Precision Score
32092
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | August 02 2025 04:03 PM |
| 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
12.5 IPS |
|
|
Image Classification (HP)
|
100% |
9101
1.69 KIPS |
|
|
Image Classification (Q)
|
99% |
15097
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
137
2.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
7718
125.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16021
260.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3325
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
70447
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
236215
276.9 IPS |
|
|
Object Detection (SP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (HP)
|
100% |
10305
817.4 IPS |
|
|
Object Detection (Q)
|
92% |
17801
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
246
2.93 IPS |
|
|
Face Detection (HP)
|
100% |
22626
268.8 IPS |
|
|
Face Detection (Q)
|
97% |
50584
603.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1502
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
41088
316.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
98705
787.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6789
8.73 IPS |
|
|
Style Transfer (HP)
|
98% |
56929
73.4 IPS |
|
|
Style Transfer (Q)
|
98% |
249983
322.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1181
43.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28062
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56900
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
1150
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2161
2.88 KIPS |
|
|
Text Classification (Q)
|
95% |
3316
4.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (Q)
|
67% |
4839
94.2 IPS |
