Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2207
Single Precision Score
2233
Half Precision Score
5752
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 01 2024 09:54 AM |
| Views | 4 |
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% |
1291
240.1 IPS |
|
|
Image Classification (HP)
|
100% |
1290
239.9 IPS |
|
|
Image Classification (Q)
|
100% |
3693
686.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1839
29.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3622
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3460
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
3450
4.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
12456
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1341
106.4 IPS |
|
|
Object Detection (HP)
|
100% |
1334
105.8 IPS |
|
|
Object Detection (Q)
|
88% |
3583
287.2 IPS |
|
|
Face Detection (SP)
|
100% |
3868
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
3871
46.0 IPS |
|
|
Face Detection (Q)
|
100% |
8023
95.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4048
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4036
31.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
9855
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10098
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9636
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
34079
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1853
68.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1844
68.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6241
231.1 IPS |
|
|
Text Classification (SP)
|
100% |
585
781.3 IPS |
|
|
Text Classification (HP)
|
100% |
624
832.3 IPS |
|
|
Text Classification (Q)
|
92% |
2467
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1479
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1633
28.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1602
27.6 IPS |
