Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
4876
Single Precision Score
7142
Half Precision Score
11028
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 05 2024 02:20 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% |
3411
634.2 IPS |
|
|
Image Classification (HP)
|
100% |
4769
886.9 IPS |
|
|
Image Classification (Q)
|
100% |
6163
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3392
55.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7038
114.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9755
158.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10664
12.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
9932
11.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
29516
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
3172
251.6 IPS |
|
|
Object Detection (HP)
|
100% |
4193
332.6 IPS |
|
|
Object Detection (Q)
|
88% |
7076
567.1 IPS |
|
|
Face Detection (SP)
|
100% |
6572
78.1 IPS |
|
|
Face Detection (HP)
|
100% |
12443
147.9 IPS |
|
|
Face Detection (Q)
|
100% |
19854
235.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9674
74.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
17907
138.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
21153
164.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25755
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35299
45.4 IPS |
|
|
Style Transfer (Q)
|
98% |
72479
93.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4561
168.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6681
246.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13061
483.7 IPS |
|
|
Text Classification (SP)
|
71% |
1457
2.11 KIPS |
|
|
Text Classification (HP)
|
71% |
1967
2.85 KIPS |
|
|
Text Classification (Q)
|
92% |
2277
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1786
30.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2393
41.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2341
40.3 IPS |
