Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
5068
Single Precision Score
7702
Half Precision Score
11236
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 01 2024 02:11 AM |
| 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% |
3338
620.8 IPS |
|
|
Image Classification (HP)
|
100% |
4958
922.0 IPS |
|
|
Image Classification (Q)
|
100% |
5990
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3762
61.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7614
123.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9849
159.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10827
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
9718
11.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30822
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
3171
251.6 IPS |
|
|
Object Detection (HP)
|
100% |
4809
381.5 IPS |
|
|
Object Detection (Q)
|
88% |
7177
575.2 IPS |
|
|
Face Detection (SP)
|
100% |
7473
88.8 IPS |
|
|
Face Detection (HP)
|
100% |
14499
172.3 IPS |
|
|
Face Detection (Q)
|
100% |
20489
243.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10620
81.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
18711
144.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
21386
166.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27309
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36029
46.3 IPS |
|
|
Style Transfer (Q)
|
98% |
77072
99.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4444
164.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8255
304.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12501
463.0 IPS |
|
|
Text Classification (SP)
|
71% |
1502
2.17 KIPS |
|
|
Text Classification (HP)
|
71% |
2045
2.96 KIPS |
|
|
Text Classification (Q)
|
92% |
2263
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1794
30.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2526
43.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2574
44.3 IPS |
