Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
5198
Single Precision Score
7827
Half Precision Score
11354
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 01 2024 03:28 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% |
3485
648.1 IPS |
|
|
Image Classification (HP)
|
100% |
4990
927.9 IPS |
|
|
Image Classification (Q)
|
100% |
6074
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3781
61.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7563
122.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9775
158.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10830
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
9705
11.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30944
36.2 IPS |
|
|
Object Detection (SP)
|
100% |
3193
253.2 IPS |
|
|
Object Detection (HP)
|
100% |
4879
387.0 IPS |
|
|
Object Detection (Q)
|
88% |
7149
572.9 IPS |
|
|
Face Detection (SP)
|
100% |
8017
95.3 IPS |
|
|
Face Detection (HP)
|
100% |
14959
177.7 IPS |
|
|
Face Detection (Q)
|
100% |
21840
259.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11076
85.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
19092
147.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
21080
163.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27379
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36530
47.0 IPS |
|
|
Style Transfer (Q)
|
98% |
76564
98.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4508
166.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8394
309.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12946
479.4 IPS |
|
|
Text Classification (SP)
|
71% |
1528
2.21 KIPS |
|
|
Text Classification (HP)
|
71% |
2154
3.12 KIPS |
|
|
Text Classification (Q)
|
92% |
2260
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1889
32.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2562
44.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2630
45.3 IPS |
