Microsoft Corporation Surface Pro 7
Geekbench AI Score
1106
Single Precision Score
622
Half Precision Score
1823
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 02:05 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% |
499
92.8 IPS |
|
|
Image Classification (HP)
|
100% |
164
30.6 IPS |
|
|
Image Classification (Q)
|
99% |
1142
213.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
270
4.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
805
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1617
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1669
1.95 IPS |
|
|
Pose Estimation (Q)
|
95% |
7647
8.96 IPS |
|
|
Object Detection (SP)
|
100% |
742
58.9 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.3 IPS |
|
|
Object Detection (Q)
|
88% |
933
74.8 IPS |
|
|
Face Detection (SP)
|
100% |
1572
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
801
9.52 IPS |
|
|
Face Detection (Q)
|
97% |
2552
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2299
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1054
8.12 IPS |
|
|
Depth Estimation (Q)
|
77% |
3718
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4655
5.98 IPS |
|
|
Style Transfer (HP)
|
100% |
3986
5.12 IPS |
|
|
Style Transfer (Q)
|
98% |
9838
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
830
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
772
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1881
69.6 IPS |
|
|
Text Classification (SP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
354
472.7 IPS |
|
|
Text Classification (Q)
|
97% |
303
405.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (Q)
|
60% |
1168
26.1 IPS |
