Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
5134
Single Precision Score
7694
Half Precision Score
11368
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 02 2024 09:26 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% |
3431
638.1 IPS |
|
|
Image Classification (HP)
|
100% |
5013
932.3 IPS |
|
|
Image Classification (Q)
|
100% |
6057
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3722
60.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7527
122.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9787
158.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10778
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
9852
11.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
31179
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3135
248.6 IPS |
|
|
Object Detection (HP)
|
100% |
4823
382.5 IPS |
|
|
Object Detection (Q)
|
88% |
7218
578.4 IPS |
|
|
Face Detection (SP)
|
100% |
7893
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
14835
176.3 IPS |
|
|
Face Detection (Q)
|
100% |
21412
254.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10819
83.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
18538
143.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
21756
169.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27228
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35485
45.6 IPS |
|
|
Style Transfer (Q)
|
98% |
76309
98.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4609
170.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8092
298.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12639
468.1 IPS |
|
|
Text Classification (SP)
|
71% |
1523
2.20 KIPS |
|
|
Text Classification (HP)
|
71% |
2098
3.04 KIPS |
|
|
Text Classification (Q)
|
92% |
2350
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2448
42.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2559
44.1 IPS |
