Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1542
Single Precision Score
2615
Half Precision Score
5139
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 25 2024 08:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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% |
667
124.0 IPS |
|
|
Image Classification (HP)
|
100% |
2044
380.2 IPS |
|
|
Image Classification (Q)
|
99% |
5340
996.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1972
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3418
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
6208
7.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
16118
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
617
49.0 IPS |
|
|
Object Detection (HP)
|
99% |
1556
123.8 IPS |
|
|
Object Detection (Q)
|
86% |
3152
253.3 IPS |
|
|
Face Detection (SP)
|
100% |
1469
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
5941
70.6 IPS |
|
|
Face Detection (Q)
|
97% |
9531
113.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2103
16.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2695
20.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
9030
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10306
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9227
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28161
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1755
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1374
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2935
108.7 IPS |
|
|
Text Classification (SP)
|
100% |
1460
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
653
871.3 IPS |
|
|
Text Classification (Q)
|
97% |
1196
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1475
25.4 IPS |
|
|
Machine Translation (HP)
|
99% |
2457
42.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2825
56.8 IPS |
