Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1690
Single Precision Score
2460
Half Precision Score
5200
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 25 2024 08:19 AM |
| Views | 17 |
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% |
690
128.3 IPS |
|
|
Image Classification (HP)
|
100% |
2776
516.3 IPS |
|
|
Image Classification (Q)
|
99% |
5978
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2775
45.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1803
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4793
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3148
3.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
14139
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
539
42.7 IPS |
|
|
Object Detection (HP)
|
99% |
1146
91.1 IPS |
|
|
Object Detection (Q)
|
86% |
4375
351.6 IPS |
|
|
Face Detection (SP)
|
100% |
1642
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
5886
69.9 IPS |
|
|
Face Detection (Q)
|
97% |
9481
113.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2055
15.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2953
22.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
8808
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10089
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8745
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27013
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1366
50.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3112
115.2 IPS |
|
|
Text Classification (SP)
|
100% |
1410
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
649
865.7 IPS |
|
|
Text Classification (Q)
|
97% |
1222
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1948
33.6 IPS |
|
|
Machine Translation (HP)
|
99% |
2168
37.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2528
50.8 IPS |
