Microsoft Corporation Surface Pro 9
Geekbench AI Score
4202
Single Precision Score
5456
Half Precision Score
8330
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 28 2024 12:25 AM |
| Views | 3 |
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% |
2507
466.2 IPS |
|
|
Image Classification (HP)
|
100% |
3425
637.0 IPS |
|
|
Image Classification (Q)
|
99% |
4908
915.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3810
61.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6041
97.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8402
136.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9607
11.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
7049
8.23 IPS |
|
|
Pose Estimation (Q)
|
97% |
28789
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
3251
257.9 IPS |
|
|
Object Detection (Q)
|
90% |
4754
380.1 IPS |
|
|
Face Detection (SP)
|
100% |
6678
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
10082
119.8 IPS |
|
|
Face Detection (Q)
|
100% |
14284
169.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8963
69.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13765
106.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
17459
135.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24271
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34756
44.7 IPS |
|
|
Style Transfer (Q)
|
98% |
63614
82.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3860
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5818
214.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9910
367.0 IPS |
|
|
Text Classification (SP)
|
71% |
1123
1.62 KIPS |
|
|
Text Classification (HP)
|
71% |
1208
1.75 KIPS |
|
|
Text Classification (Q)
|
92% |
1255
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1445
24.9 IPS |
