Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
5044
Single Precision Score
7613
Half Precision Score
11255
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 01 2024 10:17 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% |
3485
648.1 IPS |
|
|
Image Classification (HP)
|
100% |
4998
929.5 IPS |
|
|
Image Classification (Q)
|
100% |
6059
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3787
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7545
122.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9754
158.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10813
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
9712
11.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30825
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
3155
250.3 IPS |
|
|
Object Detection (HP)
|
100% |
4858
385.4 IPS |
|
|
Object Detection (Q)
|
88% |
7216
578.3 IPS |
|
|
Face Detection (SP)
|
100% |
7454
88.6 IPS |
|
|
Face Detection (HP)
|
100% |
14433
171.5 IPS |
|
|
Face Detection (Q)
|
100% |
21637
257.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10848
83.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
18817
145.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
21039
163.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26584
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36115
46.4 IPS |
|
|
Style Transfer (Q)
|
98% |
76433
98.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4631
171.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8050
297.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12208
452.1 IPS |
|
|
Text Classification (SP)
|
71% |
1262
1.83 KIPS |
|
|
Text Classification (HP)
|
71% |
1782
2.58 KIPS |
|
|
Text Classification (Q)
|
92% |
2233
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1887
32.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2615
45.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2618
45.1 IPS |
