Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1771
Single Precision Score
1147
Half Precision Score
4620
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | vik_007 |
| Upload Date | January 11 2025 05:26 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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% |
713
132.6 IPS |
|
|
Image Classification (HP)
|
100% |
547
101.8 IPS |
|
|
Image Classification (Q)
|
99% |
3729
695.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
632
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2711
43.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1835
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5381
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
5307
6.19 IPS |
|
|
Pose Estimation (Q)
|
95% |
18719
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
680
53.9 IPS |
|
|
Object Detection (HP)
|
99% |
452
36.0 IPS |
|
|
Object Detection (Q)
|
88% |
3297
264.3 IPS |
|
|
Face Detection (SP)
|
100% |
1443
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
401
4.77 IPS |
|
|
Face Detection (Q)
|
97% |
5850
69.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2211
17.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
1185
9.16 IPS |
|
|
Depth Estimation (Q)
|
77% |
7115
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13525
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7105
9.13 IPS |
|
|
Style Transfer (Q)
|
98% |
30883
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
532
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3282
121.5 IPS |
|
|
Text Classification (SP)
|
100% |
1218
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
372
496.8 IPS |
|
|
Text Classification (Q)
|
97% |
995
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1810
31.2 IPS |
|
|
Machine Translation (HP)
|
99% |
1667
28.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2502
55.8 IPS |
