Microsoft Corporation Surface Laptop 4
Geekbench AI Score
2054
Single Precision Score
1054
Half Precision Score
3321
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | FSSNAG |
| Upload Date | October 28 2024 10:04 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% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
418
77.8 IPS |
|
|
Image Classification (Q)
|
99% |
2620
488.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1077
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2320
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3321
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2575
3.00 IPS |
|
|
Pose Estimation (Q)
|
95% |
10863
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1344
106.6 IPS |
|
|
Object Detection (HP)
|
100% |
506
40.2 IPS |
|
|
Object Detection (Q)
|
88% |
1498
120.1 IPS |
|
|
Face Detection (SP)
|
100% |
2327
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
1159
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
3540
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3775
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1487
11.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
5447
43.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7714
9.92 IPS |
|
|
Style Transfer (HP)
|
100% |
6033
7.76 IPS |
|
|
Style Transfer (Q)
|
98% |
14279
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1545
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1299
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2807
103.9 IPS |
|
|
Text Classification (SP)
|
100% |
1354
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
632
843.1 IPS |
|
|
Text Classification (Q)
|
97% |
1331
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.95 IPS |
|
|
Machine Translation (Q)
|
60% |
1605
35.8 IPS |
