Microsoft Corporation Surface Pro 9
Geekbench AI Score
2963
Single Precision Score
4001
Half Precision Score
6087
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | November 18 2025 03:39 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Microsoft Corporation Surface Pro 9 |
| Motherboard | Microsoft Corporation Surface Pro 9 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1245U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
2856
531.1 IPS |
|
|
Image Classification (Q)
|
99% |
3513
655.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3070
49.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5055
81.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6208
100.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6784
7.92 IPS |
|
|
Pose Estimation (HP)
|
99% |
4877
5.69 IPS |
|
|
Pose Estimation (Q)
|
97% |
21698
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
1530
121.4 IPS |
|
|
Object Detection (HP)
|
100% |
2104
166.9 IPS |
|
|
Object Detection (Q)
|
90% |
2624
209.8 IPS |
|
|
Face Detection (SP)
|
100% |
4954
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
6292
74.8 IPS |
|
|
Face Detection (Q)
|
100% |
9838
116.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5985
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9242
71.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
12375
96.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16550
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22778
29.3 IPS |
|
|
Style Transfer (Q)
|
98% |
47441
61.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2592
95.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3905
144.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8248
305.5 IPS |
|
|
Text Classification (SP)
|
71% |
718
1.04 KIPS |
|
|
Text Classification (HP)
|
71% |
863
1.25 KIPS |
|
|
Text Classification (Q)
|
92% |
754
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1592
27.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1568
27.1 IPS |
