Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
872
Single Precision Score
14959
Half Precision Score
33013
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | August 03 2025 01:45 PM |
| Views | 10 |
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 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 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% |
63
11.7 IPS |
|
|
Image Classification (HP)
|
100% |
9510
1.77 KIPS |
|
|
Image Classification (Q)
|
99% |
15214
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
126
2.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
7696
124.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15273
248.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2142
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
70337
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
237237
278.1 IPS |
|
|
Object Detection (SP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (HP)
|
100% |
10729
851.0 IPS |
|
|
Object Detection (Q)
|
92% |
19422
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
1166
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
22880
271.9 IPS |
|
|
Face Detection (Q)
|
97% |
55507
661.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1645
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
40962
315.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
101681
811.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7723
9.93 IPS |
|
|
Style Transfer (HP)
|
98% |
56565
72.9 IPS |
|
|
Style Transfer (Q)
|
98% |
251973
324.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27248
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59025
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
1159
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (Q)
|
95% |
3279
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3259
56.1 IPS |
|
|
Machine Translation (Q)
|
67% |
5219
101.6 IPS |
