Microsoft Corporation Surface Laptop 4
Geekbench AI Score
1962
Single Precision Score
1012
Half Precision Score
3292
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | FSSNAG |
| Upload Date | October 23 2024 08:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1185G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop 4 |
| Motherboard | Microsoft Corporation Surface Laptop 4 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1318
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.1 IPS |
|
|
Image Classification (Q)
|
99% |
2586
482.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2298
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3069
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2469
2.88 IPS |
|
|
Pose Estimation (Q)
|
95% |
10453
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1322
104.9 IPS |
|
|
Object Detection (HP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (Q)
|
88% |
1496
119.9 IPS |
|
|
Face Detection (SP)
|
100% |
2259
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
1134
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
3522
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3638
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1399
10.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
5507
44.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7123
9.16 IPS |
|
|
Style Transfer (HP)
|
100% |
5782
7.43 IPS |
|
|
Style Transfer (Q)
|
98% |
14445
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1404
51.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1254
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2841
105.2 IPS |
|
|
Text Classification (SP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
624
832.3 IPS |
|
|
Text Classification (Q)
|
97% |
1265
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1454
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
460
7.93 IPS |
|
|
Machine Translation (Q)
|
60% |
1598
35.6 IPS |
