Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1792
Single Precision Score
3080
Half Precision Score
5818
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 26 2024 10:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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 | Gebalanceerd |
| 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% |
611
113.7 IPS |
|
|
Image Classification (HP)
|
100% |
3168
589.2 IPS |
|
|
Image Classification (Q)
|
99% |
4913
916.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2976
48.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2230
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5222
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
7814
9.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
19516
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
772
61.2 IPS |
|
|
Object Detection (HP)
|
99% |
2191
174.3 IPS |
|
|
Object Detection (Q)
|
86% |
5537
445.0 IPS |
|
|
Face Detection (SP)
|
100% |
1831
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
6789
80.7 IPS |
|
|
Face Detection (Q)
|
97% |
10419
124.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2404
18.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3475
26.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
10506
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10908
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8081
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
28370
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1582
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1400
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3436
127.2 IPS |
|
|
Text Classification (SP)
|
100% |
1396
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
616
822.1 IPS |
|
|
Text Classification (Q)
|
97% |
1193
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2019
34.8 IPS |
|
|
Machine Translation (HP)
|
99% |
2902
50.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2952
59.3 IPS |
