Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1916
Single Precision Score
15171
Half Precision Score
26148
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 25 2024 11:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| 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% |
680
126.4 IPS |
|
|
Image Classification (HP)
|
100% |
10237
1.90 KIPS |
|
|
Image Classification (Q)
|
99% |
15936
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
793
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7432
120.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9517
154.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5076
5.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
69862
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
236640
277.4 IPS |
|
|
Object Detection (SP)
|
100% |
819
65.0 IPS |
|
|
Object Detection (HP)
|
100% |
10702
848.9 IPS |
|
|
Object Detection (Q)
|
92% |
12260
978.6 IPS |
|
|
Face Detection (SP)
|
100% |
1765
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
22178
263.5 IPS |
|
|
Face Detection (Q)
|
97% |
46607
555.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2414
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
42272
325.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
99381
797.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12537
16.1 IPS |
|
|
Style Transfer (HP)
|
98% |
57105
73.6 IPS |
|
|
Style Transfer (Q)
|
98% |
210924
272.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1911
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28540
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40062
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
1478
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (Q)
|
95% |
3542
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1972
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3223
55.5 IPS |
|
|
Machine Translation (Q)
|
67% |
2450
47.7 IPS |
