Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
2018
Single Precision Score
10563
Half Precision Score
20358
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | NicoNRG |
| Upload Date | July 10 2025 09:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Power Plan | Ausbalanciert |
| 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% |
726
135.0 IPS |
|
|
Image Classification (HP)
|
100% |
10233
1.90 KIPS |
|
|
Image Classification (Q)
|
99% |
15598
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7582
122.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9365
152.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5728
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
69094
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
227496
266.7 IPS |
|
|
Object Detection (SP)
|
100% |
758
60.1 IPS |
|
|
Object Detection (HP)
|
100% |
10081
799.7 IPS |
|
|
Object Detection (Q)
|
82% |
12934
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
21796
259.0 IPS |
|
|
Face Detection (Q)
|
97% |
43930
523.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2490
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
39961
307.9 IPS |
|
|
Depth Estimation (Q)
|
74% |
80311
652.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16670
21.4 IPS |
|
|
Style Transfer (HP)
|
23% |
2714
93.4 IPS |
|
|
Style Transfer (Q)
|
98% |
175919
226.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2383
88.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28047
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39861
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
1544
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1853
2.47 KIPS |
|
|
Text Classification (Q)
|
95% |
3011
4.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2182
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2607
44.9 IPS |
|
|
Machine Translation (Q)
|
37% |
382
37.2 IPS |
