Microsoft Corporation Surface Laptop Studio
Geekbench ML Score
4654
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 02:00 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop Studio |
| Motherboard | Microsoft Corporation Surface Laptop Studio |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11370H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.30 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Ti Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2342
438.3 IPS |
|
|
Image Classification (F16)
|
100% |
2268
424.4 IPS |
|
|
Image Classification (I8)
|
100% |
2061
385.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
3122
52.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2844
47.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2734
45.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
21380
25.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
21784
26.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
19495
23.6 IPS |
|
|
Object Detection (F32)
|
100% |
2284
170.5 IPS |
|
|
Object Detection (F16)
|
100% |
2290
171.0 IPS |
|
|
Object Detection (I8)
|
61% |
2042
152.4 IPS |
|
|
Face Detection (F32)
|
100% |
5981
71.1 IPS |
|
|
Face Detection (F16)
|
100% |
5848
69.5 IPS |
|
|
Face Detection (I8)
|
89% |
5109
60.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
13279
103.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
13345
103.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
10931
84.8 IPS |
|
|
Style Transfer (F32)
|
100% |
42810
56.3 IPS |
|
|
Style Transfer (F16)
|
100% |
43325
57.0 IPS |
|
|
Style Transfer (I8)
|
98% |
37563
49.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8867
316.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6345
226.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4489
160.3 IPS |
|
|
Text Classification (F32)
|
100% |
792
1.14 KIPS |
|
|
Text Classification (F16)
|
100% |
836
1.20 KIPS |
|
|
Text Classification (I8)
|
98% |
747
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1331
24.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1327
24.4 IPS |
|
|
Machine Translation (I8)
|
70% |
793
14.6 IPS |
