Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1950
Single Precision Score
1435
Half Precision Score
4834
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | Lewisj |
| Upload Date | October 03 2024 02:06 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 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% |
660
122.8 IPS |
|
|
Image Classification (HP)
|
100% |
550
102.3 IPS |
|
|
Image Classification (Q)
|
99% |
4193
782.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
860
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2912
47.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2225
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6659
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
5555
6.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
16562
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
703
55.8 IPS |
|
|
Object Detection (HP)
|
99% |
529
42.1 IPS |
|
|
Object Detection (Q)
|
88% |
4021
322.3 IPS |
|
|
Face Detection (SP)
|
100% |
1608
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
702
8.34 IPS |
|
|
Face Detection (Q)
|
97% |
5895
70.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2358
18.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2071
16.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
7891
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13679
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8229
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26745
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2073
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1009
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3475
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
409
546.5 IPS |
|
|
Text Classification (Q)
|
97% |
1127
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2140
36.9 IPS |
|
|
Machine Translation (HP)
|
99% |
1594
27.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2306
51.4 IPS |
