Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2091
Single Precision Score
3398
Half Precision Score
6581
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | punkouter25 |
| Upload Date | March 28 2025 01:55 PM |
| Views | 5 |
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% |
752
139.9 IPS |
|
|
Image Classification (HP)
|
100% |
3191
593.4 IPS |
|
|
Image Classification (Q)
|
99% |
6863
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3466
56.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1819
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6860
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
9866
11.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
24192
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
876
69.5 IPS |
|
|
Object Detection (HP)
|
99% |
2446
194.6 IPS |
|
|
Object Detection (Q)
|
86% |
6534
525.1 IPS |
|
|
Face Detection (SP)
|
100% |
1823
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
6764
80.4 IPS |
|
|
Face Detection (Q)
|
97% |
12134
144.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2426
18.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3781
29.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
11660
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14683
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10661
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
35247
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2270
83.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1527
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3728
138.1 IPS |
|
|
Text Classification (SP)
|
100% |
1493
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
617
823.8 IPS |
|
|
Text Classification (Q)
|
97% |
1169
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2157
37.2 IPS |
|
|
Machine Translation (HP)
|
99% |
2997
51.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3557
71.5 IPS |
