Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2185
Single Precision Score
8077
Half Precision Score
12126
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 04:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1296
241.0 IPS |
|
|
Image Classification (HP)
|
100% |
5803
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7814
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3138
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3085
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
29544
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63456
74.3 IPS |
|
|
Object Detection (SP)
|
100% |
1316
104.4 IPS |
|
|
Object Detection (HP)
|
100% |
4886
387.6 IPS |
|
|
Object Detection (Q)
|
87% |
7682
616.5 IPS |
|
|
Face Detection (SP)
|
100% |
3620
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
12534
148.9 IPS |
|
|
Face Detection (Q)
|
100% |
21095
250.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3849
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16751
129.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
31227
243.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9269
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
45797
58.9 IPS |
|
|
Style Transfer (Q)
|
98% |
81860
105.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1704
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12015
443.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21532
797.4 IPS |
|
|
Text Classification (SP)
|
100% |
666
889.2 IPS |
|
|
Text Classification (HP)
|
100% |
1878
2.51 KIPS |
|
|
Text Classification (Q)
|
92% |
1782
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1769
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2752
47.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2781
47.9 IPS |
