Microsoft Surface Pro 9 Microsoft Corporation Surface Pro 9
Geekbench AI Score
4217
Single Precision Score
5560
Half Precision Score
8486
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lmeyler |
| Upload Date | February 06 2025 11:26 AM |
| Views | 36 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro 9 |
| Motherboard | Microsoft Corporation Surface Pro 9 |
| 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% |
2545
473.4 IPS |
|
|
Image Classification (HP)
|
100% |
3577
665.3 IPS |
|
|
Image Classification (Q)
|
99% |
5373
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3793
61.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6031
97.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8459
137.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9591
11.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
7042
8.22 IPS |
|
|
Pose Estimation (Q)
|
97% |
28758
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.3 IPS |
|
|
Object Detection (HP)
|
100% |
3360
266.6 IPS |
|
|
Object Detection (Q)
|
90% |
4832
386.3 IPS |
|
|
Face Detection (SP)
|
100% |
6797
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
10272
122.1 IPS |
|
|
Face Detection (Q)
|
100% |
14797
175.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9050
69.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
14167
109.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
17644
137.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23898
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34698
44.6 IPS |
|
|
Style Transfer (Q)
|
98% |
63715
82.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3867
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5976
220.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10100
374.0 IPS |
|
|
Text Classification (SP)
|
71% |
1130
1.63 KIPS |
|
|
Text Classification (HP)
|
71% |
1258
1.82 KIPS |
|
|
Text Classification (Q)
|
92% |
1248
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1458
25.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1463
25.2 IPS |
