Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2050
Single Precision Score
3293
Half Precision Score
6521
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | cryosurge |
| Upload Date | March 30 2025 05:45 AM |
| Views | 4 |
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 Enterprise (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
733
136.4 IPS |
|
|
Image Classification (HP)
|
100% |
2992
556.4 IPS |
|
|
Image Classification (Q)
|
99% |
6888
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
858
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3380
54.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2344
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6656
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
8749
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
21683
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
817
64.8 IPS |
|
|
Object Detection (HP)
|
99% |
2352
187.1 IPS |
|
|
Object Detection (Q)
|
86% |
6276
504.4 IPS |
|
|
Face Detection (SP)
|
100% |
1818
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
6818
81.0 IPS |
|
|
Face Detection (Q)
|
97% |
11493
137.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2353
18.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3729
28.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
11487
91.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14142
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11356
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
36118
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2210
81.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1526
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3716
137.6 IPS |
|
|
Text Classification (SP)
|
100% |
1407
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
629
840.0 IPS |
|
|
Text Classification (Q)
|
97% |
1168
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2038
35.1 IPS |
|
|
Machine Translation (HP)
|
99% |
2600
44.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3059
61.5 IPS |
