Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
197
Single Precision Score
14530
Half Precision Score
30436
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | August 09 2025 07:45 AM |
| Views | 4 |
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
11.6 IPS |
|
|
Image Classification (HP)
|
100% |
9101
1.69 KIPS |
|
|
Image Classification (Q)
|
99% |
14483
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
117
1.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
7692
124.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15469
251.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
696
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
69334
80.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230496
270.2 IPS |
|
|
Object Detection (SP)
|
100% |
74
5.87 IPS |
|
|
Object Detection (HP)
|
100% |
10233
811.7 IPS |
|
|
Object Detection (Q)
|
92% |
16613
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
204
2.42 IPS |
|
|
Face Detection (HP)
|
100% |
22138
263.0 IPS |
|
|
Face Detection (Q)
|
97% |
50507
602.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
243
1.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
39907
307.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
91475
730.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1727
2.22 IPS |
|
|
Style Transfer (HP)
|
98% |
56260
72.5 IPS |
|
|
Style Transfer (Q)
|
98% |
240219
309.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
166
6.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26522
979.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
51121
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
92
123.3 IPS |
|
|
Text Classification (HP)
|
100% |
1887
2.52 KIPS |
|
|
Text Classification (Q)
|
95% |
2926
3.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
181
3.12 IPS |
|
|
Machine Translation (HP)
|
100% |
3396
58.5 IPS |
|
|
Machine Translation (Q)
|
67% |
4791
93.2 IPS |
