Microsoft Corporation Surface Laptop 4
Geekbench ML Score
2262
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 08 2023 02:58 PM |
| Views | 10 |
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 | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1093
204.6 IPS |
|
|
Image Classification (F16)
|
100% |
1073
200.7 IPS |
|
|
Image Classification (I8)
|
100% |
853
159.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1712
28.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1687
28.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1213
20.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
11046
13.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
10744
13.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
5548
6.72 IPS |
|
|
Object Detection (F32)
|
100% |
1151
85.9 IPS |
|
|
Object Detection (F16)
|
100% |
1148
85.7 IPS |
|
|
Object Detection (I8)
|
54% |
928
69.3 IPS |
|
|
Face Detection (F32)
|
100% |
2612
31.1 IPS |
|
|
Face Detection (F16)
|
100% |
2582
30.7 IPS |
|
|
Face Detection (I8)
|
89% |
1727
20.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5406
41.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5494
42.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
3991
31.0 IPS |
|
|
Style Transfer (F32)
|
100% |
24227
31.9 IPS |
|
|
Style Transfer (F16)
|
100% |
24011
31.6 IPS |
|
|
Style Transfer (I8)
|
98% |
15150
19.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3346
119.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3258
116.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1440
51.4 IPS |
|
|
Text Classification (F32)
|
100% |
703
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
781
1.12 KIPS |
|
|
Text Classification (I8)
|
98% |
383
550.5 IPS |
|
|
Machine Translation (F32)
|
100% |
908
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
923
17.0 IPS |
|
|
Machine Translation (I8)
|
70% |
456
8.39 IPS |
