Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2242
Single Precision Score
2229
Half Precision Score
5525
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 01 2024 03:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro 10 for Business |
| Motherboard | Microsoft Corporation Surface Pro 10 for Business |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1184
220.2 IPS |
|
|
Image Classification (HP)
|
100% |
1187
220.8 IPS |
|
|
Image Classification (Q)
|
100% |
3002
558.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3355
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3196
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3175
3.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
11575
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1336
106.0 IPS |
|
|
Object Detection (HP)
|
100% |
1336
106.0 IPS |
|
|
Object Detection (Q)
|
88% |
3586
287.5 IPS |
|
|
Face Detection (SP)
|
100% |
3882
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
3870
46.0 IPS |
|
|
Face Detection (Q)
|
100% |
6411
76.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4053
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3943
30.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9943
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9779
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9949
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31641
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1815
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1838
67.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6186
229.1 IPS |
|
|
Text Classification (SP)
|
100% |
627
836.7 IPS |
|
|
Text Classification (HP)
|
100% |
645
861.3 IPS |
|
|
Text Classification (Q)
|
92% |
2531
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2132
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1976
34.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2010
34.6 IPS |
