Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1781
Single Precision Score
1746
Half Precision Score
4810
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 28 2024 01:10 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% |
1105
205.5 IPS |
|
|
Image Classification (HP)
|
100% |
1052
195.7 IPS |
|
|
Image Classification (Q)
|
100% |
2648
492.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3214
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2228
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2206
2.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
9168
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1131
89.7 IPS |
|
|
Object Detection (HP)
|
100% |
943
74.8 IPS |
|
|
Object Detection (Q)
|
88% |
2774
222.3 IPS |
|
|
Face Detection (SP)
|
100% |
3452
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
3348
39.8 IPS |
|
|
Face Detection (Q)
|
100% |
7393
87.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2631
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2729
21.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
7982
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6641
8.54 IPS |
|
|
Style Transfer (HP)
|
100% |
8493
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
32629
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1090
40.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5005
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
519
692.5 IPS |
|
|
Text Classification (HP)
|
100% |
552
737.0 IPS |
|
|
Text Classification (Q)
|
92% |
2288
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1525
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1390
24.0 IPS |
