Microsoft Corporation Surface Laptop 5
Geekbench AI Score
1997
Single Precision Score
860
Half Precision Score
3002
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | FSSNAG |
| Upload Date | October 24 2024 04:45 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% |
1209
224.8 IPS |
|
|
Image Classification (HP)
|
100% |
329
61.1 IPS |
|
|
Image Classification (Q)
|
99% |
2095
390.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
894
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
605
9.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
2133
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3632
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2001
2.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
10679
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
100% |
409
32.4 IPS |
|
|
Object Detection (Q)
|
88% |
1206
96.6 IPS |
|
|
Face Detection (SP)
|
100% |
2361
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
1023
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
2923
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4013
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1291
9.95 IPS |
|
|
Depth Estimation (Q)
|
77% |
5107
40.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8392
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
5476
7.04 IPS |
|
|
Style Transfer (Q)
|
98% |
13445
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1033
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2655
98.3 IPS |
|
|
Text Classification (SP)
|
100% |
1182
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
422
563.6 IPS |
|
|
Text Classification (Q)
|
97% |
1356
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (Q)
|
60% |
1430
31.9 IPS |
