Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2237
Single Precision Score
2213
Half Precision Score
5762
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 03 2024 05:24 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% |
1320
245.5 IPS |
|
|
Image Classification (HP)
|
100% |
1296
241.1 IPS |
|
|
Image Classification (Q)
|
100% |
3750
697.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1844
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1837
29.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3699
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3381
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3208
3.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
11635
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1159
91.9 IPS |
|
|
Object Detection (HP)
|
100% |
1332
105.6 IPS |
|
|
Object Detection (Q)
|
88% |
3645
292.2 IPS |
|
|
Face Detection (SP)
|
100% |
3943
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
3932
46.7 IPS |
|
|
Face Detection (Q)
|
100% |
8107
96.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4069
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4077
31.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
10055
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10079
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9301
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
34259
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1848
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6241
231.1 IPS |
|
|
Text Classification (SP)
|
100% |
612
816.8 IPS |
|
|
Text Classification (HP)
|
100% |
641
855.3 IPS |
|
|
Text Classification (Q)
|
92% |
2472
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1806
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1637
28.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1592
27.4 IPS |
