Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1834
Single Precision Score
15284
Half Precision Score
26246
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | hungdeihk |
| Upload Date | January 06 2025 05:33 AM |
| Views | 1 |
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% |
685
127.5 IPS |
|
|
Image Classification (HP)
|
100% |
10312
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
16071
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7418
120.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9422
153.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5459
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
68757
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231463
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
490
38.9 IPS |
|
|
Object Detection (HP)
|
100% |
10759
853.4 IPS |
|
|
Object Detection (Q)
|
92% |
12614
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
1698
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
22455
266.8 IPS |
|
|
Face Detection (Q)
|
97% |
46594
555.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2467
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
42255
325.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
99761
800.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11804
15.2 IPS |
|
|
Style Transfer (HP)
|
98% |
57295
73.9 IPS |
|
|
Style Transfer (Q)
|
98% |
210001
270.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2039
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28759
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39794
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
1519
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (Q)
|
95% |
3579
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1988
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (Q)
|
67% |
2524
49.1 IPS |
