Dell Inc. XPS 15 9520
Geekbench ML Score
5888
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2024 11:13 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. XPS 15 9520 |
| Motherboard | Dell Inc. 0MWGD4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2996
560.5 IPS |
|
|
Image Classification (F16)
|
100% |
3006
562.6 IPS |
|
|
Image Classification (I8)
|
100% |
2294
429.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
4033
67.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3993
66.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3312
55.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
31891
38.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
29495
35.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
20963
25.4 IPS |
|
|
Object Detection (F32)
|
100% |
2576
192.3 IPS |
|
|
Object Detection (F16)
|
100% |
2644
197.4 IPS |
|
|
Object Detection (I8)
|
61% |
2122
158.4 IPS |
|
|
Face Detection (F32)
|
100% |
7768
92.4 IPS |
|
|
Face Detection (F16)
|
100% |
7751
92.2 IPS |
|
|
Face Detection (I8)
|
89% |
6215
73.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16321
126.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
18244
141.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
13787
106.9 IPS |
|
|
Style Transfer (F32)
|
100% |
53584
70.5 IPS |
|
|
Style Transfer (F16)
|
100% |
59457
78.2 IPS |
|
|
Style Transfer (I8)
|
98% |
49187
64.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8583
306.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8404
300.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5600
200.0 IPS |
|
|
Text Classification (F32)
|
100% |
1263
1.81 KIPS |
|
|
Text Classification (F16)
|
100% |
1372
1.97 KIPS |
|
|
Text Classification (I8)
|
98% |
597
858.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1934
35.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1971
36.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1045
19.2 IPS |
