Microsoft Corporation Surface Pro 7
Geekbench AI Score
1049
Single Precision Score
553
Half Precision Score
1842
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 02:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1035G4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| 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 | 1.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
730
135.7 IPS |
|
|
Image Classification (HP)
|
100% |
275
51.2 IPS |
|
|
Image Classification (Q)
|
99% |
1739
324.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
626
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
446
7.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
1164
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1382
1.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
995
1.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
5513
6.46 IPS |
|
|
Object Detection (SP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (HP)
|
100% |
259
20.6 IPS |
|
|
Object Detection (Q)
|
88% |
939
75.2 IPS |
|
|
Face Detection (SP)
|
100% |
1291
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
645
7.66 IPS |
|
|
Face Detection (Q)
|
97% |
2457
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1699
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
704
5.43 IPS |
|
|
Depth Estimation (Q)
|
77% |
3304
26.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3371
4.33 IPS |
|
|
Style Transfer (HP)
|
100% |
2544
3.27 IPS |
|
|
Style Transfer (Q)
|
98% |
8061
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
777
28.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
664
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2036
75.4 IPS |
|
|
Text Classification (SP)
|
100% |
826
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
409
545.7 IPS |
|
|
Text Classification (Q)
|
97% |
318
425.9 IPS |
|
|
Machine Translation (SP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.66 IPS |
|
|
Machine Translation (Q)
|
60% |
1014
22.6 IPS |
