Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1898
Single Precision Score
1431
Half Precision Score
4923
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | TBayliss |
| Upload Date | September 04 2024 11:09 AM |
| Views | 12 |
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 Pro (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 | 4.01 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
694
129.1 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.3 IPS |
|
|
Image Classification (Q)
|
99% |
4147
773.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
860
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2624
42.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2135
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6328
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
6681
7.80 IPS |
|
|
Pose Estimation (Q)
|
95% |
18954
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (HP)
|
99% |
532
42.3 IPS |
|
|
Object Detection (Q)
|
88% |
3507
281.1 IPS |
|
|
Face Detection (SP)
|
100% |
1593
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
654
7.77 IPS |
|
|
Face Detection (Q)
|
97% |
6198
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2492
19.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2083
16.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
11370
91.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12638
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8247
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25697
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1851
68.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
990
36.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3245
120.1 IPS |
|
|
Text Classification (SP)
|
100% |
1183
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
347
463.1 IPS |
|
|
Text Classification (Q)
|
97% |
1032
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2157
37.2 IPS |
|
|
Machine Translation (HP)
|
99% |
1839
31.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2347
52.4 IPS |
