Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
241
Single Precision Score
330
Half Precision Score
612
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 20 2025 04:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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% |
74
13.7 IPS |
|
|
Image Classification (HP)
|
100% |
147
27.4 IPS |
|
|
Image Classification (Q)
|
99% |
301
56.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
274
4.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
350
5.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
821
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
903
1.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
2042
2.39 IPS |
|
|
Object Detection (SP)
|
100% |
93
7.37 IPS |
|
|
Object Detection (HP)
|
99% |
158
12.6 IPS |
|
|
Object Detection (Q)
|
86% |
318
25.5 IPS |
|
|
Face Detection (SP)
|
100% |
260
3.08 IPS |
|
|
Face Detection (HP)
|
100% |
504
5.99 IPS |
|
|
Face Detection (Q)
|
97% |
844
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
288
2.22 IPS |
|
|
Depth Estimation (HP)
|
98% |
413
3.19 IPS |
|
|
Depth Estimation (Q)
|
79% |
796
6.32 IPS |
|
|
Style Transfer (SP)
|
100% |
2055
2.64 IPS |
|
|
Style Transfer (HP)
|
100% |
2287
2.94 IPS |
|
|
Style Transfer (Q)
|
98% |
4078
5.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
198
7.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
220
8.11 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
409
15.2 IPS |
|
|
Text Classification (SP)
|
100% |
116
155.1 IPS |
|
|
Text Classification (HP)
|
100% |
73
97.0 IPS |
|
|
Text Classification (Q)
|
97% |
188
251.2 IPS |
|
|
Machine Translation (SP)
|
100% |
230
3.97 IPS |
|
|
Machine Translation (HP)
|
99% |
359
6.20 IPS |
|
|
Machine Translation (Q)
|
65% |
516
10.4 IPS |
