Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
324
Single Precision Score
13213
Half Precision Score
21983
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 21 2024 04:34 AM |
| Views | 2 |
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% |
136
25.4 IPS |
|
|
Image Classification (HP)
|
100% |
7656
1.42 KIPS |
|
|
Image Classification (Q)
|
99% |
11209
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
225
3.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
6935
112.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8582
139.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1177
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
65865
76.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
227511
266.7 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
9590
760.7 IPS |
|
|
Object Detection (Q)
|
92% |
10901
870.1 IPS |
|
|
Face Detection (SP)
|
100% |
196
2.32 IPS |
|
|
Face Detection (HP)
|
100% |
19010
225.9 IPS |
|
|
Face Detection (Q)
|
97% |
38258
456.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
221
1.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
34439
265.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
76787
616.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1612
2.07 IPS |
|
|
Style Transfer (HP)
|
98% |
56153
72.4 IPS |
|
|
Style Transfer (Q)
|
98% |
192519
248.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
304
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26899
993.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34750
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
307
409.7 IPS |
|
|
Text Classification (HP)
|
100% |
2090
2.79 KIPS |
|
|
Text Classification (Q)
|
95% |
3137
4.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (HP)
|
100% |
2341
40.3 IPS |
|
|
Machine Translation (Q)
|
67% |
1792
34.9 IPS |
