Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
205
Single Precision Score
14793
Half Precision Score
32016
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | August 03 2025 03:39 AM |
| Views | 11 |
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% |
63
11.8 IPS |
|
|
Image Classification (HP)
|
100% |
9568
1.78 KIPS |
|
|
Image Classification (Q)
|
99% |
15421
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
124
2.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
7688
124.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15755
256.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
691
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
70266
82.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
237569
278.5 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.27 IPS |
|
|
Object Detection (HP)
|
100% |
10120
802.7 IPS |
|
|
Object Detection (Q)
|
92% |
19338
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
218
2.58 IPS |
|
|
Face Detection (HP)
|
100% |
22343
265.5 IPS |
|
|
Face Detection (Q)
|
97% |
50475
601.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
252
1.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
40399
311.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
94458
753.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1803
2.32 IPS |
|
|
Style Transfer (HP)
|
98% |
56651
73.1 IPS |
|
|
Style Transfer (Q)
|
98% |
246775
318.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
164
6.07 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26932
994.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
55123
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
104
138.6 IPS |
|
|
Text Classification (HP)
|
100% |
2001
2.67 KIPS |
|
|
Text Classification (Q)
|
95% |
3126
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
191
3.28 IPS |
|
|
Machine Translation (HP)
|
100% |
3482
60.0 IPS |
|
|
Machine Translation (Q)
|
67% |
5001
97.3 IPS |
