Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2157
Single Precision Score
2149
Half Precision Score
5477
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 30 2024 09:07 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| 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% |
1254
233.3 IPS |
|
|
Image Classification (HP)
|
100% |
1241
230.8 IPS |
|
|
Image Classification (Q)
|
100% |
3468
644.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3517
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3139
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3327
3.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
12106
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1288
102.1 IPS |
|
|
Object Detection (HP)
|
100% |
1294
102.6 IPS |
|
|
Object Detection (Q)
|
88% |
3402
272.7 IPS |
|
|
Face Detection (SP)
|
100% |
3763
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
3768
44.8 IPS |
|
|
Face Detection (Q)
|
100% |
7654
90.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3878
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3893
30.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
9510
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9632
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9100
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31206
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1777
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1720
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5676
210.2 IPS |
|
|
Text Classification (SP)
|
100% |
632
843.1 IPS |
|
|
Text Classification (HP)
|
100% |
629
840.0 IPS |
|
|
Text Classification (Q)
|
92% |
2412
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1553
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1536
26.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1557
26.8 IPS |
