Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2226
Single Precision Score
2242
Half Precision Score
5737
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 04:03 PM |
| 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% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
1320
245.4 IPS |
|
|
Image Classification (Q)
|
100% |
3756
698.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3644
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3203
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3231
3.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
12062
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1334
105.9 IPS |
|
|
Object Detection (HP)
|
100% |
1342
106.5 IPS |
|
|
Object Detection (Q)
|
88% |
3336
267.5 IPS |
|
|
Face Detection (SP)
|
100% |
3935
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
3933
46.7 IPS |
|
|
Face Detection (Q)
|
100% |
8211
97.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3933
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3846
29.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
10056
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8387
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9243
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28301
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1835
67.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6126
226.9 IPS |
|
|
Text Classification (SP)
|
100% |
606
808.8 IPS |
|
|
Text Classification (HP)
|
100% |
625
833.6 IPS |
|
|
Text Classification (Q)
|
92% |
2536
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1974
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1960
33.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1934
33.3 IPS |
