Microsoft Corporation Surface Pro 9
Geekbench AI Score
2088
Single Precision Score
2115
Half Precision Score
4246
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 02:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-1255U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Pro 9 |
| Motherboard | Microsoft Corporation Surface Pro 9 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1163
216.2 IPS |
|
|
Image Classification (HP)
|
100% |
1106
205.6 IPS |
|
|
Image Classification (Q)
|
100% |
2315
430.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1726
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2514
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3215
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3219
3.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
9219
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1273
101.0 IPS |
|
|
Object Detection (HP)
|
100% |
1158
91.9 IPS |
|
|
Object Detection (Q)
|
88% |
2323
186.2 IPS |
|
|
Face Detection (SP)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
3545
42.1 IPS |
|
|
Face Detection (Q)
|
100% |
6463
76.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3883
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3831
29.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
7484
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8381
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9354
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25850
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1721
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1747
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3896
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
609
812.2 IPS |
|
|
Text Classification (HP)
|
100% |
624
832.5 IPS |
|
|
Text Classification (Q)
|
92% |
1756
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1799
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1822
31.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1788
30.8 IPS |
