Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
4744
Single Precision Score
6943
Half Precision Score
10141
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | January 16 2025 03:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (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% |
3487
648.5 IPS |
|
|
Image Classification (HP)
|
100% |
4392
816.7 IPS |
|
|
Image Classification (Q)
|
100% |
5872
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3642
59.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6849
111.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9535
154.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11069
12.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
10101
11.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
32589
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
3031
240.4 IPS |
|
|
Object Detection (HP)
|
100% |
4552
361.1 IPS |
|
|
Object Detection (Q)
|
88% |
7217
578.4 IPS |
|
|
Face Detection (SP)
|
100% |
7477
88.8 IPS |
|
|
Face Detection (HP)
|
100% |
14278
169.7 IPS |
|
|
Face Detection (Q)
|
100% |
19691
234.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10553
81.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
19195
148.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
18463
143.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22783
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33343
42.9 IPS |
|
|
Style Transfer (Q)
|
98% |
66734
86.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4109
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7022
259.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11973
443.4 IPS |
|
|
Text Classification (SP)
|
71% |
1339
1.94 KIPS |
|
|
Text Classification (HP)
|
71% |
1861
2.69 KIPS |
|
|
Text Classification (Q)
|
92% |
1705
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1577
27.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1764
30.4 IPS |
