Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1886
Single Precision Score
1333
Half Precision Score
4820
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | loismustdie1 |
| Upload Date | August 27 2024 10:40 PM |
| Views | 13 |
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% |
708
131.6 IPS |
|
|
Image Classification (HP)
|
100% |
551
102.6 IPS |
|
|
Image Classification (Q)
|
99% |
3860
720.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
833
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2840
46.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2367
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6446
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
4805
5.61 IPS |
|
|
Pose Estimation (Q)
|
95% |
15964
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
675
53.5 IPS |
|
|
Object Detection (HP)
|
99% |
469
37.3 IPS |
|
|
Object Detection (Q)
|
88% |
3554
284.9 IPS |
|
|
Face Detection (SP)
|
100% |
1554
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
726
8.63 IPS |
|
|
Face Detection (Q)
|
97% |
5816
69.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2410
18.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
1889
14.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
9548
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12666
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8501
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30622
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2002
73.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
825
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3280
121.5 IPS |
|
|
Text Classification (SP)
|
100% |
1195
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
355
473.3 IPS |
|
|
Text Classification (Q)
|
97% |
1023
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1963
33.8 IPS |
|
|
Machine Translation (HP)
|
99% |
1474
25.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2292
51.1 IPS |
