Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
4140
Single Precision Score
7404
Half Precision Score
11012
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 02 2024 06:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3391
630.6 IPS |
|
|
Image Classification (HP)
|
100% |
4877
906.9 IPS |
|
|
Image Classification (Q)
|
100% |
5763
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2489
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7359
119.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9723
157.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10157
11.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
9778
11.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
28757
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
2952
234.2 IPS |
|
|
Object Detection (HP)
|
100% |
4774
378.7 IPS |
|
|
Object Detection (Q)
|
88% |
7181
575.4 IPS |
|
|
Face Detection (SP)
|
100% |
3271
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
13497
160.4 IPS |
|
|
Face Detection (Q)
|
100% |
20721
246.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5044
38.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
18667
144.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
21122
164.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26298
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27556
35.4 IPS |
|
|
Style Transfer (Q)
|
98% |
75760
97.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4638
171.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8236
304.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12510
463.3 IPS |
|
|
Text Classification (SP)
|
71% |
1550
2.24 KIPS |
|
|
Text Classification (HP)
|
71% |
1947
2.82 KIPS |
|
|
Text Classification (Q)
|
92% |
2054
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1877
32.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2656
45.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2662
45.9 IPS |
