Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
2022
Single Precision Score
10419
Half Precision Score
17123
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | scurry |
| Upload Date | December 08 2024 02:45 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, 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% |
717
133.3 IPS |
|
|
Image Classification (HP)
|
100% |
6506
1.21 KIPS |
|
|
Image Classification (Q)
|
99% |
10301
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
753
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6170
100.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8331
135.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5386
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
66653
77.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
216457
253.7 IPS |
|
|
Object Detection (SP)
|
100% |
871
69.1 IPS |
|
|
Object Detection (HP)
|
100% |
6272
497.5 IPS |
|
|
Object Detection (Q)
|
92% |
7279
581.0 IPS |
|
|
Face Detection (SP)
|
100% |
1909
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
15638
185.8 IPS |
|
|
Face Detection (Q)
|
97% |
29251
348.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2459
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
32510
250.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
67869
544.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14318
18.4 IPS |
|
|
Style Transfer (HP)
|
98% |
54946
70.9 IPS |
|
|
Style Transfer (Q)
|
98% |
180483
232.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2159
79.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20903
771.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23721
878.4 IPS |
|
|
Text Classification (SP)
|
100% |
1447
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
844
1.13 KIPS |
|
|
Text Classification (Q)
|
95% |
1334
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2152
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1824
31.4 IPS |
|
|
Machine Translation (Q)
|
67% |
1414
27.5 IPS |
