Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
5069
Single Precision Score
7691
Half Precision Score
11285
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 01 2024 09:51 AM |
| Views | 3 |
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% |
3406
633.3 IPS |
|
|
Image Classification (HP)
|
100% |
4741
881.6 IPS |
|
|
Image Classification (Q)
|
100% |
5816
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3548
57.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7371
119.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9593
155.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10380
12.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
9603
11.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
30684
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
2940
233.2 IPS |
|
|
Object Detection (HP)
|
100% |
4645
368.4 IPS |
|
|
Object Detection (Q)
|
88% |
7013
562.0 IPS |
|
|
Face Detection (SP)
|
100% |
7825
93.0 IPS |
|
|
Face Detection (HP)
|
100% |
14846
176.4 IPS |
|
|
Face Detection (Q)
|
100% |
21693
257.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10944
84.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
19133
147.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
22087
171.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27213
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35525
45.7 IPS |
|
|
Style Transfer (Q)
|
98% |
74665
96.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4579
169.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8252
304.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12706
470.5 IPS |
|
|
Text Classification (SP)
|
71% |
1544
2.23 KIPS |
|
|
Text Classification (HP)
|
71% |
2115
3.06 KIPS |
|
|
Text Classification (Q)
|
92% |
2304
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1844
31.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2641
45.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2665
45.9 IPS |
