Microsoft Corporation Microsoft Surface Pro with 5G, 11th Edition
Geekbench AI Score
1998
Single Precision Score
14930
Half Precision Score
32199
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | Galleywest59 |
| Upload Date | April 07 2025 08:03 PM |
| Views | 5 |
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 with 5G, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro with 5G, 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% |
8235
1.53 KIPS |
|
|
Image Classification (Q)
|
99% |
15906
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7660
124.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16684
271.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5525
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
68758
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
240812
282.3 IPS |
|
|
Object Detection (SP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (HP)
|
100% |
10437
827.9 IPS |
|
|
Object Detection (Q)
|
92% |
16232
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
1917
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
23540
279.7 IPS |
|
|
Face Detection (Q)
|
97% |
53405
636.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2450
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
42123
324.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
96241
768.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13945
17.9 IPS |
|
|
Style Transfer (HP)
|
98% |
57280
73.9 IPS |
|
|
Style Transfer (Q)
|
98% |
249697
322.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1869
69.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27787
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59415
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
1439
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2165
2.89 KIPS |
|
|
Text Classification (Q)
|
95% |
3442
4.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3559
61.3 IPS |
|
|
Machine Translation (Q)
|
67% |
4400
85.6 IPS |
