Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1185
Single Precision Score
15172
Half Precision Score
33036
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| Upload Date | July 09 2025 08:48 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 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% |
467
86.9 IPS |
|
|
Image Classification (HP)
|
100% |
10126
1.88 KIPS |
|
|
Image Classification (Q)
|
99% |
15310
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
377
6.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
7928
128.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19171
311.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3472
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
70022
81.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233466
273.7 IPS |
|
|
Object Detection (SP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
10468
830.3 IPS |
|
|
Object Detection (Q)
|
92% |
17951
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
1330
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
22985
273.1 IPS |
|
|
Face Detection (Q)
|
97% |
50943
607.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1602
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
39476
304.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
97569
778.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8820
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53938
69.3 IPS |
|
|
Style Transfer (Q)
|
98% |
241641
311.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
977
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26451
976.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
52237
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2178
2.91 KIPS |
|
|
Text Classification (Q)
|
95% |
3120
4.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3897
67.1 IPS |
|
|
Machine Translation (Q)
|
67% |
6432
125.2 IPS |
