Microsoft Corporation Surface Pro 7
Geekbench AI Score
2148
Single Precision Score
2195
Half Precision Score
6114
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | ishmulyan |
| Upload Date | February 14 2025 01:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-1035G4 CPU @ 1.10GHz |
| 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% |
1322
245.9 IPS |
|
|
Image Classification (HP)
|
100% |
1343
249.7 IPS |
|
|
Image Classification (Q)
|
100% |
4001
744.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3873
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2463
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2530
2.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
10127
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1238
98.2 IPS |
|
|
Object Detection (HP)
|
100% |
1275
101.1 IPS |
|
|
Object Detection (Q)
|
88% |
3970
318.2 IPS |
|
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (Q)
|
100% |
9386
111.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3322
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3415
26.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
10526
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6436
8.27 IPS |
|
|
Style Transfer (HP)
|
100% |
6617
8.51 IPS |
|
|
Style Transfer (Q)
|
98% |
25753
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1488
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1512
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5326
197.3 IPS |
|
|
Text Classification (SP)
|
100% |
1561
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1640
2.19 KIPS |
|
|
Text Classification (Q)
|
92% |
3745
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2294
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2348
40.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2312
39.8 IPS |
