Microsoft Corporation Surface Pro 7
Geekbench AI Score
1579
Single Precision Score
545
Half Precision Score
3687
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | ishmulyan |
| Upload Date | February 14 2025 01:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1035G4 |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (Workstation Edition) |
| Model | Microsoft Corporation Surface Pro 7 |
| Motherboard | Microsoft Corporation Surface Pro 7 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1035G4 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1033
192.0 IPS |
|
|
Image Classification (HP)
|
100% |
125
23.2 IPS |
|
|
Image Classification (Q)
|
97% |
3118
581.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
615
9.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
231
3.74 IPS |
|
|
Image Segmentation (Q)
|
99% |
1821
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2648
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1983
2.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
8894
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1040
82.5 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
86% |
3012
242.1 IPS |
|
|
Face Detection (SP)
|
100% |
1784
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (Q)
|
97% |
6660
79.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3097
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
784
6.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
7288
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6410
8.24 IPS |
|
|
Style Transfer (HP)
|
100% |
4898
6.30 IPS |
|
|
Style Transfer (Q)
|
98% |
10328
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
823
30.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2803
103.8 IPS |
|
|
Text Classification (SP)
|
100% |
1306
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
465
620.7 IPS |
|
|
Text Classification (Q)
|
97% |
1302
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1448
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.68 IPS |
|
|
Machine Translation (Q)
|
65% |
1669
33.5 IPS |
