Microsoft Corporation Microsoft Surface Pro with 5G, 11th Edition
Geekbench AI Score
717
Single Precision Score
14847
Half Precision Score
34391
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | December 02 2025 11:20 PM |
| Views | 13 |
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 Enterprise (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Pro with 5G, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro with 5G, 11th Edition |
| 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% |
310
57.6 IPS |
|
|
Image Classification (HP)
|
100% |
9623
1.79 KIPS |
|
|
Image Classification (Q)
|
99% |
15972
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
341
5.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
7696
124.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20488
333.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1459
1.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
70400
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
235011
275.5 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (HP)
|
100% |
9987
792.2 IPS |
|
|
Object Detection (Q)
|
92% |
16926
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
813
9.67 IPS |
|
|
Face Detection (HP)
|
100% |
22324
265.3 IPS |
|
|
Face Detection (Q)
|
97% |
57127
681.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
966
7.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
41106
316.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
89561
714.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3637
4.68 IPS |
|
|
Style Transfer (HP)
|
100% |
53254
68.5 IPS |
|
|
Style Transfer (Q)
|
98% |
226763
292.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
732
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27002
997.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
52281
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
485
648.0 IPS |
|
|
Text Classification (HP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (Q)
|
95% |
3945
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3247
55.9 IPS |
|
|
Machine Translation (Q)
|
67% |
7432
144.7 IPS |
