Microsoft Corporation Surface Laptop Studio 2
Geekbench ML Score
9554
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 01:58 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Laptop Studio 2 |
| Motherboard | Microsoft Corporation Surface Laptop Studio 2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3890
728.0 IPS |
|
|
Image Classification (F16)
|
100% |
3828
716.4 IPS |
|
|
Image Classification (I8)
|
100% |
3709
694.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
6169
103.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
6215
103.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
5900
98.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
64501
78.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
63649
77.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
60394
73.1 IPS |
|
|
Object Detection (F32)
|
100% |
3322
248.0 IPS |
|
|
Object Detection (F16)
|
100% |
2972
221.9 IPS |
|
|
Object Detection (I8)
|
61% |
3123
233.2 IPS |
|
|
Face Detection (F32)
|
100% |
13612
161.8 IPS |
|
|
Face Detection (F16)
|
100% |
14297
170.0 IPS |
|
|
Face Detection (I8)
|
89% |
12157
144.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
23236
180.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
22731
176.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
20185
156.5 IPS |
|
|
Style Transfer (F32)
|
100% |
98383
129.4 IPS |
|
|
Style Transfer (F16)
|
100% |
103821
136.6 IPS |
|
|
Style Transfer (I8)
|
98% |
92969
122.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20206
721.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19831
708.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15429
551.0 IPS |
|
|
Text Classification (F32)
|
100% |
1688
2.43 KIPS |
|
|
Text Classification (F16)
|
100% |
1652
2.37 KIPS |
|
|
Text Classification (I8)
|
98% |
977
1.40 KIPS |
|
|
Machine Translation (F32)
|
100% |
2224
40.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2129
39.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1397
25.7 IPS |
