Microsoft Corporation Surface Pro 7
Geekbench AI Score
1248
Single Precision Score
682
Half Precision Score
1958
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 09:55 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% |
719
133.7 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.3 IPS |
|
|
Image Classification (Q)
|
99% |
1694
316.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
453
7.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
1118
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1970
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1656
1.93 IPS |
|
|
Pose Estimation (Q)
|
95% |
7749
9.08 IPS |
|
|
Object Detection (SP)
|
100% |
792
62.8 IPS |
|
|
Object Detection (HP)
|
100% |
345
27.4 IPS |
|
|
Object Detection (Q)
|
88% |
1020
81.7 IPS |
|
|
Face Detection (SP)
|
100% |
1479
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
815
9.69 IPS |
|
|
Face Detection (Q)
|
97% |
2310
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2254
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
781
6.02 IPS |
|
|
Depth Estimation (Q)
|
77% |
3344
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3910
5.03 IPS |
|
|
Style Transfer (HP)
|
100% |
3713
4.77 IPS |
|
|
Style Transfer (Q)
|
98% |
10108
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
944
34.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
791
29.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2101
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
433
577.5 IPS |
|
|
Text Classification (Q)
|
97% |
321
430.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1085
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.59 IPS |
|
|
Machine Translation (Q)
|
60% |
1051
23.4 IPS |
