Microsoft Corporation Surface Pro 7
Geekbench AI Score
1112
Single Precision Score
1098
Half Precision Score
651
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | ishmulyan |
| Upload Date | February 14 2025 01:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
762
141.7 IPS |
|
|
Image Classification (HP)
|
100% |
769
143.0 IPS |
|
|
Image Classification (Q)
|
99% |
336
62.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
920
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
478
7.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
1312
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1207
1.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
1025
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
754
59.8 IPS |
|
|
Object Detection (HP)
|
100% |
767
60.8 IPS |
|
|
Object Detection (Q)
|
85% |
455
36.6 IPS |
|
|
Face Detection (SP)
|
100% |
1486
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1501
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
1035
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1370
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1411
10.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
867
8.13 IPS |
|
|
Style Transfer (SP)
|
100% |
1963
2.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1974
2.54 IPS |
|
|
Style Transfer (Q)
|
98% |
2359
3.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
725
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
725
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
611
22.6 IPS |
|
|
Text Classification (SP)
|
100% |
1079
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1112
1.48 KIPS |
|
|
Text Classification (Q)
|
92% |
400
537.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (Q)
|
58% |
353
8.29 IPS |
