Microsoft Corporation Surface Pro 9
Geekbench AI Score
2101
Single Precision Score
2111
Half Precision Score
4204
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 28 2024 05:33 PM |
| Views | 12 |
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% |
1199
222.9 IPS |
|
|
Image Classification (HP)
|
100% |
1205
224.0 IPS |
|
|
Image Classification (Q)
|
100% |
2355
437.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1741
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2856
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3241
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3247
3.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
9230
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1287
102.1 IPS |
|
|
Object Detection (HP)
|
100% |
1261
100.0 IPS |
|
|
Object Detection (Q)
|
88% |
2356
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (Q)
|
100% |
6479
77.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3866
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3880
29.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
7493
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9519
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9363
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20852
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1626
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1736
64.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3692
136.7 IPS |
|
|
Text Classification (SP)
|
100% |
505
674.5 IPS |
|
|
Text Classification (HP)
|
100% |
499
665.9 IPS |
|
|
Text Classification (Q)
|
92% |
1766
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1809
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1802
31.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1788
30.8 IPS |
