Microsoft Corporation Surface Laptop 5
Geekbench AI Score
2017
Single Precision Score
864
Half Precision Score
3128
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | FSSNAG |
| Upload Date | October 24 2024 05:07 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1265U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop 5 |
| Motherboard | Microsoft Corporation Surface Laptop 5 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1265U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1237
230.0 IPS |
|
|
Image Classification (HP)
|
100% |
337
62.6 IPS |
|
|
Image Classification (Q)
|
99% |
2290
427.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
603
9.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
2268
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3628
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2191
2.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
10381
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
100% |
419
33.3 IPS |
|
|
Object Detection (Q)
|
88% |
1153
92.4 IPS |
|
|
Face Detection (SP)
|
100% |
2357
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
946
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
3014
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4067
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1231
9.49 IPS |
|
|
Depth Estimation (Q)
|
77% |
5113
40.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8812
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5172
6.65 IPS |
|
|
Style Transfer (Q)
|
98% |
13536
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1643
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1084
40.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3078
114.0 IPS |
|
|
Text Classification (SP)
|
100% |
1110
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
456
608.8 IPS |
|
|
Text Classification (Q)
|
97% |
1445
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
421
7.26 IPS |
|
|
Machine Translation (Q)
|
60% |
1556
34.7 IPS |
