Microsoft Surface Pro 9 Microsoft Corporation Surface Pro 9
Geekbench AI Score
2273
Single Precision Score
2249
Half Precision Score
4250
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lmeyler |
| Upload Date | February 06 2025 11:23 AM |
| Views | 37 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-1255U |
| 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% |
1157
215.1 IPS |
|
|
Image Classification (HP)
|
100% |
1175
218.4 IPS |
|
|
Image Classification (Q)
|
100% |
1969
366.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2848
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3043
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2684
3.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
9010
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1217
96.5 IPS |
|
|
Object Detection (HP)
|
100% |
1221
96.8 IPS |
|
|
Object Detection (Q)
|
88% |
2283
183.0 IPS |
|
|
Face Detection (SP)
|
100% |
3542
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
3609
42.9 IPS |
|
|
Face Detection (Q)
|
100% |
6888
81.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3844
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3938
30.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
7006
54.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8829
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8967
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22879
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1785
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1808
66.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4150
153.7 IPS |
|
|
Text Classification (SP)
|
100% |
1291
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1284
1.71 KIPS |
|
|
Text Classification (Q)
|
92% |
1862
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1842
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1750
30.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1955
33.7 IPS |
