Microsoft Corporation Surface Pro 7
Geekbench AI Score
1192
Single Precision Score
605
Half Precision Score
1933
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 02:36 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% |
758
141.0 IPS |
|
|
Image Classification (HP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (Q)
|
99% |
1758
328.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
1166
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2080
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1703
1.99 IPS |
|
|
Pose Estimation (Q)
|
95% |
5741
6.73 IPS |
|
|
Object Detection (SP)
|
100% |
732
58.1 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (Q)
|
88% |
1043
83.6 IPS |
|
|
Face Detection (SP)
|
100% |
1474
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
705
8.38 IPS |
|
|
Face Detection (Q)
|
97% |
2489
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2061
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
746
5.75 IPS |
|
|
Depth Estimation (Q)
|
77% |
3821
30.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3483
4.48 IPS |
|
|
Style Transfer (HP)
|
100% |
2804
3.60 IPS |
|
|
Style Transfer (Q)
|
98% |
8407
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
820
30.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
635
23.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2145
79.4 IPS |
|
|
Text Classification (SP)
|
100% |
1000
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
438
584.2 IPS |
|
|
Text Classification (Q)
|
97% |
315
421.7 IPS |
|
|
Machine Translation (SP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (Q)
|
60% |
1099
24.5 IPS |
