Microsoft Corporation Surface Laptop 3
Geekbench AI Score
671
Single Precision Score
374
Half Precision Score
1547
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gethen |
| Upload Date | December 16 2024 06:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1035G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop 3 |
| Motherboard | Microsoft Corporation Surface Laptop 3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1035G7 |
| 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% |
439
81.7 IPS |
|
|
Image Classification (HP)
|
100% |
157
29.2 IPS |
|
|
Image Classification (Q)
|
99% |
1277
238.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
335
5.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
995
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
999
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
789
0.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
3928
4.61 IPS |
|
|
Object Detection (SP)
|
100% |
537
42.6 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (Q)
|
86% |
1658
133.2 IPS |
|
|
Face Detection (SP)
|
100% |
1500
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
514
6.11 IPS |
|
|
Face Detection (Q)
|
97% |
2829
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1458
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
597
4.60 IPS |
|
|
Depth Estimation (Q)
|
78% |
3458
27.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2557
3.29 IPS |
|
|
Style Transfer (HP)
|
100% |
2029
2.61 IPS |
|
|
Style Transfer (Q)
|
98% |
5819
7.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
267
9.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
870
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
309
411.9 IPS |
|
|
Text Classification (HP)
|
100% |
189
252.2 IPS |
|
|
Text Classification (Q)
|
97% |
268
359.5 IPS |
|
|
Machine Translation (SP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.42 IPS |
|
|
Machine Translation (Q)
|
65% |
717
14.4 IPS |
