Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2140
Single Precision Score
2146
Half Precision Score
5507
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 29 2024 01:54 PM |
| Views | 11 |
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% |
1246
231.8 IPS |
|
|
Image Classification (HP)
|
100% |
1253
233.0 IPS |
|
|
Image Classification (Q)
|
100% |
3549
659.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1761
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3500
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3385
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3157
3.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
11641
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1263
100.2 IPS |
|
|
Object Detection (HP)
|
100% |
1289
102.2 IPS |
|
|
Object Detection (Q)
|
88% |
3401
272.6 IPS |
|
|
Face Detection (SP)
|
100% |
3766
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
3753
44.6 IPS |
|
|
Face Detection (Q)
|
100% |
7723
91.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3878
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3798
29.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
9439
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9568
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9778
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31262
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1775
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5859
217.0 IPS |
|
|
Text Classification (SP)
|
100% |
548
731.1 IPS |
|
|
Text Classification (HP)
|
100% |
621
829.3 IPS |
|
|
Text Classification (Q)
|
92% |
2608
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1582
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1499
25.8 IPS |
