Microsoft Corporation Surface Pro 7
Geekbench AI Score
1192
Single Precision Score
608
Half Precision Score
1866
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 04:16 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% |
863
160.5 IPS |
|
|
Image Classification (HP)
|
100% |
290
54.0 IPS |
|
|
Image Classification (Q)
|
99% |
1649
307.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
1080
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1897
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1200
1.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
5802
6.80 IPS |
|
|
Object Detection (SP)
|
100% |
798
63.3 IPS |
|
|
Object Detection (HP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (Q)
|
88% |
1085
87.0 IPS |
|
|
Face Detection (SP)
|
100% |
1498
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
711
8.45 IPS |
|
|
Face Detection (Q)
|
97% |
2410
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2001
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
711
5.47 IPS |
|
|
Depth Estimation (Q)
|
77% |
3946
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3598
4.63 IPS |
|
|
Style Transfer (HP)
|
100% |
3013
3.87 IPS |
|
|
Style Transfer (Q)
|
98% |
6982
9.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
709
26.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2026
75.0 IPS |
|
|
Text Classification (SP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
402
536.3 IPS |
|
|
Text Classification (Q)
|
97% |
298
399.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
60% |
1141
25.4 IPS |
