Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2262
Single Precision Score
2225
Half Precision Score
5677
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 02 2024 09:29 AM |
| 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% |
1312
243.9 IPS |
|
|
Image Classification (HP)
|
100% |
1297
241.3 IPS |
|
|
Image Classification (Q)
|
100% |
3707
689.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3632
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3362
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3370
3.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
11721
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1349
107.0 IPS |
|
|
Object Detection (HP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (Q)
|
88% |
3609
289.3 IPS |
|
|
Face Detection (SP)
|
100% |
3852
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
3890
46.2 IPS |
|
|
Face Detection (Q)
|
100% |
8026
95.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4069
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4070
31.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9938
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9675
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9278
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
32004
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1775
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1827
67.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6236
230.9 IPS |
|
|
Text Classification (SP)
|
100% |
683
912.0 IPS |
|
|
Text Classification (HP)
|
100% |
641
855.5 IPS |
|
|
Text Classification (Q)
|
92% |
2417
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1764
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1599
27.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1587
27.3 IPS |
