Microsoft Corporation Surface Pro 9
Geekbench AI Score
1792
Single Precision Score
724
Half Precision Score
3204
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kkAL-sulami |
| Upload Date | April 11 2025 05:34 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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 | Balanced |
| 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% |
1396
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
285
53.1 IPS |
|
|
Image Classification (Q)
|
99% |
2686
500.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
1712
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2740
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1805
2.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
8163
9.57 IPS |
|
|
Object Detection (SP)
|
100% |
1375
109.0 IPS |
|
|
Object Detection (HP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
86% |
2651
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
3574
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
864
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
4539
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3740
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1032
7.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
6786
54.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6842
8.80 IPS |
|
|
Style Transfer (HP)
|
100% |
4266
5.48 IPS |
|
|
Style Transfer (Q)
|
98% |
11744
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1243
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
835
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1871
69.3 IPS |
|
|
Text Classification (SP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
370
493.7 IPS |
|
|
Text Classification (Q)
|
97% |
1047
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (Q)
|
65% |
1618
32.5 IPS |
