Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1896
Single Precision Score
15101
Half Precision Score
25257
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 25 2024 08:22 AM |
| Views | 16 |
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% |
655
121.8 IPS |
|
|
Image Classification (HP)
|
100% |
10270
1.91 KIPS |
|
|
Image Classification (Q)
|
99% |
16196
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
768
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7384
119.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6814
110.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4848
5.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
70265
82.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
235956
276.6 IPS |
|
|
Object Detection (SP)
|
100% |
784
62.2 IPS |
|
|
Object Detection (HP)
|
100% |
10723
850.6 IPS |
|
|
Object Detection (Q)
|
92% |
12626
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
1838
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
21549
256.0 IPS |
|
|
Face Detection (Q)
|
97% |
43756
521.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2363
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
41289
318.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
100530
806.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12614
16.2 IPS |
|
|
Style Transfer (HP)
|
98% |
56877
73.3 IPS |
|
|
Style Transfer (Q)
|
98% |
209702
270.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1931
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28406
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40089
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
1496
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (Q)
|
95% |
3533
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1988
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3244
55.9 IPS |
|
|
Machine Translation (Q)
|
67% |
2460
47.9 IPS |
