Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1720
Single Precision Score
1251
Half Precision Score
4205
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | June 17 2025 05:08 PM |
| Views | 3 |
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 Pro, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro, 11th 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% |
684
127.1 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.7 IPS |
|
|
Image Classification (Q)
|
99% |
3734
696.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2823
45.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2351
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5693
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
4842
5.65 IPS |
|
|
Pose Estimation (Q)
|
95% |
14530
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (HP)
|
99% |
454
36.1 IPS |
|
|
Object Detection (Q)
|
88% |
3163
253.6 IPS |
|
|
Face Detection (SP)
|
100% |
1548
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
626
7.43 IPS |
|
|
Face Detection (Q)
|
97% |
5306
63.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1984
15.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
1735
13.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
6670
53.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11368
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7962
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25255
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1850
68.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
901
33.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2763
102.3 IPS |
|
|
Text Classification (SP)
|
100% |
1134
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
339
451.9 IPS |
|
|
Text Classification (Q)
|
97% |
908
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1688
29.1 IPS |
|
|
Machine Translation (HP)
|
99% |
1341
23.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1912
42.6 IPS |
