Microsoft Corporation Surface Laptop 5
Geekbench AI Score
1918
Single Precision Score
802
Half Precision Score
2948
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | FSSNAG |
| Upload Date | October 24 2024 05:30 AM |
| Views | 5 |
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% |
1213
225.5 IPS |
|
|
Image Classification (HP)
|
100% |
327
60.9 IPS |
|
|
Image Classification (Q)
|
99% |
2219
413.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
591
9.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
2232
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3584
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2136
2.49 IPS |
|
|
Pose Estimation (Q)
|
95% |
10052
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1318
104.6 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (Q)
|
88% |
1263
101.2 IPS |
|
|
Face Detection (SP)
|
100% |
2343
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
964
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
2955
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3848
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1203
9.27 IPS |
|
|
Depth Estimation (Q)
|
77% |
5342
42.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8127
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
4214
5.42 IPS |
|
|
Style Transfer (Q)
|
98% |
12172
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
950
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2522
93.4 IPS |
|
|
Text Classification (SP)
|
100% |
1089
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
411
548.2 IPS |
|
|
Text Classification (Q)
|
97% |
1377
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
346
5.96 IPS |
|
|
Machine Translation (Q)
|
60% |
1182
26.4 IPS |
