Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2238
Single Precision Score
2251
Half Precision Score
5768
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 01 2024 10:49 AM |
| Views | 2 |
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% |
1298
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
1302
242.2 IPS |
|
|
Image Classification (Q)
|
100% |
3713
690.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1844
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1853
30.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3689
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3445
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3445
4.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
12142
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1336
106.0 IPS |
|
|
Object Detection (HP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (Q)
|
88% |
3640
291.8 IPS |
|
|
Face Detection (SP)
|
100% |
3880
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
3902
46.4 IPS |
|
|
Face Detection (Q)
|
100% |
8040
95.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4047
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4063
31.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
9769
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9999
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9999
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
34017
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1848
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1848
68.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6197
229.5 IPS |
|
|
Text Classification (SP)
|
100% |
587
782.8 IPS |
|
|
Text Classification (HP)
|
100% |
630
841.4 IPS |
|
|
Text Classification (Q)
|
92% |
2542
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1686
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1609
27.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1600
27.6 IPS |
