Surface Pro 9 - Debian Trixie 13.1 - K6.17.1 Microsoft Corporation Surface Pro 9
Geekbench AI Score
1341
Single Precision Score
1367
Half Precision Score
962
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | GreatDane |
| Upload Date | November 11 2025 06:10 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | Microsoft Corporation Surface Pro 9 |
| Motherboard | Microsoft Corporation Surface Pro 9 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
895
166.5 IPS |
|
|
Image Classification (HP)
|
100% |
925
172.1 IPS |
|
|
Image Classification (Q)
|
99% |
612
114.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1086
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
714
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1538
1.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1607
1.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
1841
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
943
74.8 IPS |
|
|
Object Detection (HP)
|
100% |
944
74.9 IPS |
|
|
Object Detection (Q)
|
85% |
646
52.0 IPS |
|
|
Face Detection (SP)
|
100% |
1773
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
1823
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
1463
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1758
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1685
13.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1326
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2550
3.28 IPS |
|
|
Style Transfer (HP)
|
100% |
2499
3.21 IPS |
|
|
Style Transfer (Q)
|
98% |
3873
4.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
985
36.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
925
34.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
905
33.5 IPS |
|
|
Text Classification (SP)
|
100% |
1036
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1077
1.44 KIPS |
|
|
Text Classification (Q)
|
92% |
408
547.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1646
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1651
28.4 IPS |
|
|
Machine Translation (Q)
|
58% |
474
11.1 IPS |
