Microsoft Corporation Surface Laptop 4
Geekbench AI Score
2093
Single Precision Score
1068
Half Precision Score
3348
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | FSSNAG |
| Upload Date | October 28 2024 08:09 PM |
| Views | 4 |
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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.3 IPS |
|
|
Image Classification (Q)
|
99% |
2597
484.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1101
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2323
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3366
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2615
3.05 IPS |
|
|
Pose Estimation (Q)
|
95% |
11017
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1324
105.0 IPS |
|
|
Object Detection (HP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (Q)
|
88% |
1551
124.3 IPS |
|
|
Face Detection (SP)
|
100% |
2476
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
1209
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
3274
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3828
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1513
11.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
5604
44.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7755
9.97 IPS |
|
|
Style Transfer (HP)
|
100% |
6014
7.73 IPS |
|
|
Style Transfer (Q)
|
98% |
14866
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1360
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2915
108.0 IPS |
|
|
Text Classification (SP)
|
100% |
1329
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
626
835.8 IPS |
|
|
Text Classification (Q)
|
97% |
1306
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
528
9.10 IPS |
|
|
Machine Translation (Q)
|
60% |
1654
36.9 IPS |
