Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2267
Single Precision Score
2226
Half Precision Score
5708
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 02 2024 03:29 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% |
1299
241.6 IPS |
|
|
Image Classification (HP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (Q)
|
100% |
3675
683.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3685
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3463
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
3195
3.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
11670
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1328
105.3 IPS |
|
|
Object Detection (HP)
|
100% |
1344
106.6 IPS |
|
|
Object Detection (Q)
|
88% |
3630
291.0 IPS |
|
|
Face Detection (SP)
|
100% |
3873
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
3896
46.3 IPS |
|
|
Face Detection (Q)
|
100% |
8051
95.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4063
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4069
31.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9969
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10059
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10049
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
33483
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1838
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1752
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5943
220.1 IPS |
|
|
Text Classification (SP)
|
100% |
650
867.5 IPS |
|
|
Text Classification (HP)
|
100% |
644
860.2 IPS |
|
|
Text Classification (Q)
|
92% |
2468
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1732
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1619
27.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1625
28.0 IPS |
