Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1798
Single Precision Score
2871
Half Precision Score
5614
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 15 2024 06:16 PM |
| 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% |
721
134.2 IPS |
|
|
Image Classification (HP)
|
100% |
3064
569.8 IPS |
|
|
Image Classification (Q)
|
99% |
6365
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
801
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3179
51.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2359
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5916
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
8336
9.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
17145
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
512
40.6 IPS |
|
|
Object Detection (HP)
|
99% |
1164
92.6 IPS |
|
|
Object Detection (Q)
|
86% |
4349
349.5 IPS |
|
|
Face Detection (SP)
|
100% |
1614
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
6595
78.4 IPS |
|
|
Face Detection (Q)
|
97% |
10686
127.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2368
18.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3004
23.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
9693
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11284
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9456
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26258
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1333
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3231
119.6 IPS |
|
|
Text Classification (SP)
|
100% |
1275
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
608
812.0 IPS |
|
|
Text Classification (Q)
|
97% |
1127
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2062
35.5 IPS |
|
|
Machine Translation (HP)
|
99% |
2656
45.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2807
56.4 IPS |
