Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2148
Single Precision Score
15263
Half Precision Score
26341
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | cryosurge |
| Upload Date | March 30 2025 05:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| 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% |
742
138.0 IPS |
|
|
Image Classification (HP)
|
100% |
10337
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
16368
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7402
120.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9563
155.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6761
7.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
69557
81.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
235603
276.2 IPS |
|
|
Object Detection (SP)
|
100% |
897
71.2 IPS |
|
|
Object Detection (HP)
|
100% |
11037
875.5 IPS |
|
|
Object Detection (Q)
|
92% |
13076
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
1981
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
22531
267.7 IPS |
|
|
Face Detection (Q)
|
97% |
45173
538.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2564
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
40457
311.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
98844
793.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15750
20.2 IPS |
|
|
Style Transfer (HP)
|
98% |
56350
72.7 IPS |
|
|
Style Transfer (Q)
|
98% |
209332
269.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2425
89.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28118
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39343
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
1561
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (Q)
|
95% |
3585
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1831
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3470
59.8 IPS |
|
|
Machine Translation (Q)
|
67% |
2530
49.2 IPS |
