Microsoft Surface Pro 9 Microsoft Corporation Surface Pro 9
Geekbench AI Score
2754
Single Precision Score
2743
Half Precision Score
1740
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lmeyler |
| Upload Date | February 06 2025 11:20 AM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1203
223.7 IPS |
|
|
Image Classification (HP)
|
100% |
1163
216.2 IPS |
|
|
Image Classification (Q)
|
100% |
1028
191.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1844
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1343
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10623
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10785
12.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5413
6.34 IPS |
|
|
Object Detection (SP)
|
100% |
1366
108.4 IPS |
|
|
Object Detection (HP)
|
98% |
1240
98.7 IPS |
|
|
Object Detection (Q)
|
86% |
1139
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
2712
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
3252
38.6 IPS |
|
|
Face Detection (Q)
|
97% |
1946
23.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5562
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6285
48.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3723
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22302
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29068
37.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14131
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2984
110.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3705
136.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1360
50.3 IPS |
|
|
Text Classification (SP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
348
464.4 IPS |
|
|
Text Classification (Q)
|
97% |
463
620.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (Q)
|
70% |
466
8.73 IPS |
