Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
417
Single Precision Score
610
Half Precision Score
1080
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 21 2024 02:24 AM |
| 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 Home (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro, 11th 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% |
128
23.8 IPS |
|
|
Image Classification (HP)
|
100% |
318
59.1 IPS |
|
|
Image Classification (Q)
|
99% |
784
146.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
565
9.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
647
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1173
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1736
2.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
3721
4.36 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
99% |
326
25.9 IPS |
|
|
Object Detection (Q)
|
86% |
848
68.1 IPS |
|
|
Face Detection (SP)
|
100% |
422
5.02 IPS |
|
|
Face Detection (HP)
|
100% |
999
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
1268
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
407
3.13 IPS |
|
|
Depth Estimation (HP)
|
98% |
661
5.11 IPS |
|
|
Depth Estimation (Q)
|
79% |
1542
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2709
3.48 IPS |
|
|
Style Transfer (HP)
|
100% |
2975
3.82 IPS |
|
|
Style Transfer (Q)
|
98% |
5763
7.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
649
24.0 IPS |
|
|
Text Classification (SP)
|
100% |
382
509.8 IPS |
|
|
Text Classification (HP)
|
100% |
147
196.6 IPS |
|
|
Text Classification (Q)
|
97% |
385
515.4 IPS |
|
|
Machine Translation (SP)
|
100% |
350
6.04 IPS |
|
|
Machine Translation (HP)
|
99% |
755
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
483
9.72 IPS |
