Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
5319
Single Precision Score
7941
Half Precision Score
11528
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 29 2024 08:23 PM |
| 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% |
3474
646.1 IPS |
|
|
Image Classification (HP)
|
100% |
4903
911.8 IPS |
|
|
Image Classification (Q)
|
100% |
5903
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3787
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7650
124.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9647
156.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11182
13.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
9967
11.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
31865
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
3294
261.3 IPS |
|
|
Object Detection (HP)
|
100% |
4922
390.4 IPS |
|
|
Object Detection (Q)
|
88% |
7413
594.1 IPS |
|
|
Face Detection (SP)
|
100% |
8059
95.8 IPS |
|
|
Face Detection (HP)
|
100% |
14832
176.2 IPS |
|
|
Face Detection (Q)
|
100% |
21886
260.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11314
87.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
19884
153.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
22715
176.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28652
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37699
48.5 IPS |
|
|
Style Transfer (Q)
|
98% |
78889
101.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4778
176.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8579
316.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12968
480.3 IPS |
|
|
Text Classification (SP)
|
71% |
1585
2.29 KIPS |
|
|
Text Classification (HP)
|
71% |
2113
3.06 KIPS |
|
|
Text Classification (Q)
|
92% |
2267
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2690
46.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2674
46.1 IPS |
