Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1968
Single Precision Score
15124
Half Precision Score
26249
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 26 2024 10:08 AM |
| Views | 12 |
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% |
701
130.4 IPS |
|
|
Image Classification (HP)
|
100% |
9943
1.85 KIPS |
|
|
Image Classification (Q)
|
99% |
16024
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7421
120.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9377
152.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5636
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
69705
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
238235
279.2 IPS |
|
|
Object Detection (SP)
|
100% |
877
69.6 IPS |
|
|
Object Detection (HP)
|
100% |
11008
873.2 IPS |
|
|
Object Detection (Q)
|
92% |
12934
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
22557
268.0 IPS |
|
|
Face Detection (Q)
|
97% |
44702
533.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2437
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
41314
318.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
102787
824.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14236
18.3 IPS |
|
|
Style Transfer (HP)
|
98% |
57283
73.9 IPS |
|
|
Style Transfer (Q)
|
98% |
206980
266.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2127
78.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28592
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40375
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
1551
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2240
2.99 KIPS |
|
|
Text Classification (Q)
|
95% |
3520
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1427
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3236
55.7 IPS |
|
|
Machine Translation (Q)
|
67% |
2482
48.3 IPS |
