Microsoft Corporation Surface Laptop 4
Geekbench ML Score
2351
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 08 2023 02:37 PM |
| Views | 19 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop 4 |
| Motherboard | Microsoft Corporation Surface Laptop 4 |
| Power Plan | Balanced |
| 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 |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1363
255.0 IPS |
|
|
Image Classification (F16)
|
100% |
1346
251.8 IPS |
|
|
Image Classification (I8)
|
99% |
2529
473.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1043
17.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1068
17.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1548
25.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3423
4.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
3111
3.77 IPS |
|
|
Pose Estimation (I8)
|
100% |
11697
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1206
90.0 IPS |
|
|
Object Detection (F16)
|
100% |
1192
89.0 IPS |
|
|
Object Detection (I8)
|
62% |
1300
97.1 IPS |
|
|
Face Detection (F32)
|
100% |
2350
27.9 IPS |
|
|
Face Detection (F16)
|
100% |
2336
27.8 IPS |
|
|
Face Detection (I8)
|
89% |
3462
41.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4064
31.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
4020
31.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
8984
69.7 IPS |
|
|
Style Transfer (F32)
|
100% |
8451
11.1 IPS |
|
|
Style Transfer (F16)
|
100% |
7838
10.3 IPS |
|
|
Style Transfer (I8)
|
98% |
14794
19.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1801
64.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1815
64.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3073
109.7 IPS |
|
|
Text Classification (F32)
|
100% |
1245
1.79 KIPS |
|
|
Text Classification (F16)
|
100% |
1248
1.79 KIPS |
|
|
Text Classification (I8)
|
98% |
395
567.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1525
28.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1543
28.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1878
34.6 IPS |
