250115 Microsoft Surface Laptop 7th Edition Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1954
Single Precision Score
3140
Half Precision Score
6111
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | gethen |
| Upload Date | January 15 2025 12:07 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X 12-core X1E80100 @ 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 12-core X1E80100 @ 3.40 GHz |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
735
136.7 IPS |
|
|
Image Classification (HP)
|
100% |
2941
547.0 IPS |
|
|
Image Classification (Q)
|
99% |
6662
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3323
53.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1834
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6426
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
8047
9.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
19793
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
744
59.0 IPS |
|
|
Object Detection (HP)
|
99% |
2245
178.6 IPS |
|
|
Object Detection (Q)
|
86% |
6448
518.2 IPS |
|
|
Face Detection (SP)
|
100% |
1802
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
7025
83.5 IPS |
|
|
Face Detection (Q)
|
97% |
10453
124.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2324
17.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3646
28.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
11124
88.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13505
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9789
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33714
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2048
75.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1313
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3315
122.7 IPS |
|
|
Text Classification (SP)
|
100% |
1376
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
628
838.6 IPS |
|
|
Text Classification (Q)
|
97% |
1213
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1977
34.1 IPS |
|
|
Machine Translation (HP)
|
99% |
2553
44.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2955
59.4 IPS |
