Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2057
Single Precision Score
9890
Half Precision Score
15691
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | kent_tester |
| Upload Date | March 05 2025 07:49 PM |
| Views | 6 |
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% |
722
134.2 IPS |
|
|
Image Classification (HP)
|
100% |
6506
1.21 KIPS |
|
|
Image Classification (Q)
|
99% |
7165
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
758
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6320
102.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7722
125.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5648
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
62340
72.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
187774
220.1 IPS |
|
|
Object Detection (SP)
|
100% |
903
71.6 IPS |
|
|
Object Detection (HP)
|
100% |
6317
501.1 IPS |
|
|
Object Detection (Q)
|
92% |
7868
628.0 IPS |
|
|
Face Detection (SP)
|
100% |
1922
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
14712
174.8 IPS |
|
|
Face Detection (Q)
|
97% |
28649
341.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2500
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
31446
242.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
65304
523.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14180
18.2 IPS |
|
|
Style Transfer (HP)
|
98% |
50063
64.6 IPS |
|
|
Style Transfer (Q)
|
98% |
162009
208.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2209
81.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15889
586.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22382
828.8 IPS |
|
|
Text Classification (SP)
|
100% |
1476
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
829
1.11 KIPS |
|
|
Text Classification (Q)
|
95% |
1111
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2192
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1814
31.3 IPS |
|
|
Machine Translation (Q)
|
67% |
1469
28.6 IPS |
