Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
5039
Single Precision Score
7602
Half Precision Score
10945
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 28 2024 01:07 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% |
3433
638.4 IPS |
|
|
Image Classification (HP)
|
100% |
5102
948.8 IPS |
|
|
Image Classification (Q)
|
100% |
6219
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3710
60.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7476
121.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9276
150.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10889
12.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
10097
11.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
32335
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
3083
244.5 IPS |
|
|
Object Detection (HP)
|
100% |
4826
382.8 IPS |
|
|
Object Detection (Q)
|
88% |
7244
580.5 IPS |
|
|
Face Detection (SP)
|
100% |
7916
94.1 IPS |
|
|
Face Detection (HP)
|
100% |
14914
177.2 IPS |
|
|
Face Detection (Q)
|
100% |
20496
243.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10546
81.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
19998
154.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
21339
165.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28775
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36896
47.4 IPS |
|
|
Style Transfer (Q)
|
98% |
77647
100.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4740
175.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8580
316.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13093
484.9 IPS |
|
|
Text Classification (SP)
|
71% |
1503
2.17 KIPS |
|
|
Text Classification (HP)
|
71% |
1980
2.86 KIPS |
|
|
Text Classification (Q)
|
92% |
2076
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1856
32.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1979
34.1 IPS |
