Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1922
Single Precision Score
13667
Half Precision Score
29975
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | key1_ |
| Upload Date | April 06 2025 06:53 AM |
| 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 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 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% |
678
126.1 IPS |
|
|
Image Classification (HP)
|
100% |
9675
1.80 KIPS |
|
|
Image Classification (Q)
|
99% |
15218
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7641
123.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15903
258.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5011
5.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
69072
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
224027
262.6 IPS |
|
|
Object Detection (SP)
|
100% |
842
66.8 IPS |
|
|
Object Detection (HP)
|
100% |
8682
688.6 IPS |
|
|
Object Detection (Q)
|
92% |
17878
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
1829
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
19353
230.0 IPS |
|
|
Face Detection (Q)
|
97% |
48987
584.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2362
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
39343
303.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
94275
752.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10498
13.5 IPS |
|
|
Style Transfer (HP)
|
98% |
55171
71.1 IPS |
|
|
Style Transfer (Q)
|
98% |
245324
316.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1981
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25737
950.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
54837
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1456
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1690
2.26 KIPS |
|
|
Text Classification (Q)
|
95% |
2475
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2344
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2809
48.4 IPS |
|
|
Machine Translation (Q)
|
67% |
3930
76.5 IPS |
