Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1544
Single Precision Score
12370
Half Precision Score
25732
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| User | Jasin55 |
| Upload Date | July 26 2025 12:52 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 10-core X1P64100 @ 3.40 GHz |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
581
108.1 IPS |
|
|
Image Classification (HP)
|
100% |
10583
1.97 KIPS |
|
|
Image Classification (Q)
|
99% |
17157
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
523
8.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
8183
132.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
20031
325.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4680
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
58070
67.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
116464
136.5 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (HP)
|
100% |
11389
903.4 IPS |
|
|
Object Detection (Q)
|
92% |
19204
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
1455
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
23961
284.7 IPS |
|
|
Face Detection (Q)
|
97% |
57887
690.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1713
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20383
157.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
57492
458.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10230
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32157
41.3 IPS |
|
|
Style Transfer (Q)
|
98% |
124373
160.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1727
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28087
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58013
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
1291
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2482
3.31 KIPS |
|
|
Text Classification (Q)
|
95% |
828
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1932
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1338
23.1 IPS |
|
|
Machine Translation (Q)
|
67% |
8328
162.1 IPS |
