Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1757
Single Precision Score
3490
Half Precision Score
6943
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | January 06 2025 09:38 AM |
| Views | 2 |
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 | High performance |
| 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% |
734
136.5 IPS |
|
|
Image Classification (HP)
|
100% |
3126
581.3 IPS |
|
|
Image Classification (Q)
|
99% |
7004
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3373
54.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2405
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6697
7.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
9869
11.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
26628
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
930
73.8 IPS |
|
|
Object Detection (HP)
|
99% |
2487
197.8 IPS |
|
|
Object Detection (Q)
|
86% |
6892
553.9 IPS |
|
|
Face Detection (SP)
|
100% |
1970
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
7164
85.1 IPS |
|
|
Face Detection (Q)
|
97% |
11286
134.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2478
19.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4000
30.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
12142
96.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16206
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12044
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
37226
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2299
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1633
60.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4008
148.4 IPS |
|
|
Text Classification (SP)
|
100% |
187
248.9 IPS |
|
|
Text Classification (HP)
|
100% |
682
909.6 IPS |
|
|
Text Classification (Q)
|
97% |
1259
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2121
36.5 IPS |
|
|
Machine Translation (HP)
|
99% |
2696
46.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3273
65.8 IPS |
