Microsoft Corporation Surface Pro 7
Geekbench AI Score
954
Single Precision Score
479
Half Precision Score
1644
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 06:22 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% |
440
81.8 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.8 IPS |
|
|
Image Classification (Q)
|
99% |
1563
291.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
463
7.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
318
5.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
809
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
949
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
809
0.94 IPS |
|
|
Pose Estimation (Q)
|
95% |
4148
4.86 IPS |
|
|
Object Detection (SP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (HP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (Q)
|
88% |
833
66.8 IPS |
|
|
Face Detection (SP)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
613
7.28 IPS |
|
|
Face Detection (Q)
|
97% |
2454
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1705
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
667
5.14 IPS |
|
|
Depth Estimation (Q)
|
77% |
3257
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3269
4.20 IPS |
|
|
Style Transfer (HP)
|
100% |
2512
3.23 IPS |
|
|
Style Transfer (Q)
|
98% |
7805
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
741
27.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
566
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1727
63.9 IPS |
|
|
Text Classification (SP)
|
100% |
986
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
386
515.3 IPS |
|
|
Text Classification (Q)
|
97% |
313
419.6 IPS |
|
|
Machine Translation (SP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.59 IPS |
|
|
Machine Translation (Q)
|
60% |
981
21.9 IPS |
