Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2252
Single Precision Score
2197
Half Precision Score
5681
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 27 2024 09:10 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% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
1231
229.0 IPS |
|
|
Image Classification (Q)
|
100% |
3750
697.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1684
27.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3216
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3119
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2999
3.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
11742
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.8 IPS |
|
|
Object Detection (HP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (Q)
|
88% |
3646
292.2 IPS |
|
|
Face Detection (SP)
|
100% |
3773
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
3811
45.3 IPS |
|
|
Face Detection (Q)
|
100% |
7956
94.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4025
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3985
30.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
9844
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9900
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9179
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31802
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1778
65.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5080
188.1 IPS |
|
|
Text Classification (SP)
|
100% |
632
843.7 IPS |
|
|
Text Classification (HP)
|
100% |
640
853.7 IPS |
|
|
Text Classification (Q)
|
92% |
2719
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1976
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1972
34.0 IPS |
