Microsoft Corporation Surface Pro 9
Geekbench AI Score
4144
Single Precision Score
5434
Half Precision Score
8256
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 28 2024 05:28 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2367
440.1 IPS |
|
|
Image Classification (HP)
|
100% |
3271
608.2 IPS |
|
|
Image Classification (Q)
|
99% |
4507
840.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3727
60.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5942
96.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8379
135.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9546
11.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
6984
8.15 IPS |
|
|
Pose Estimation (Q)
|
97% |
28946
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
3292
261.1 IPS |
|
|
Object Detection (Q)
|
90% |
4785
382.6 IPS |
|
|
Face Detection (SP)
|
100% |
6570
78.1 IPS |
|
|
Face Detection (HP)
|
100% |
9963
118.4 IPS |
|
|
Face Detection (Q)
|
100% |
14806
175.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8975
69.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13910
107.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
17297
134.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24415
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34330
44.1 IPS |
|
|
Style Transfer (Q)
|
98% |
63722
82.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3834
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5767
212.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9835
364.2 IPS |
|
|
Text Classification (SP)
|
71% |
1104
1.60 KIPS |
|
|
Text Classification (HP)
|
71% |
1248
1.81 KIPS |
|
|
Text Classification (Q)
|
92% |
1227
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1469
25.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1429
24.6 IPS |
