Dell Inc. Dell G15 5515
Geekbench ML Score
6036
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 04:10 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell G15 5515 |
| Motherboard | Dell Inc. 0TGD6F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 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% |
2871
537.3 IPS |
|
|
Image Classification (F16)
|
100% |
2883
539.5 IPS |
|
|
Image Classification (I8)
|
100% |
2259
422.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
4356
72.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
4196
70.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3727
62.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22844
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
23931
29.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
20727
25.1 IPS |
|
|
Object Detection (F32)
|
100% |
2594
193.7 IPS |
|
|
Object Detection (F16)
|
100% |
2550
190.4 IPS |
|
|
Object Detection (I8)
|
61% |
2265
169.1 IPS |
|
|
Face Detection (F32)
|
100% |
6624
78.8 IPS |
|
|
Face Detection (F16)
|
100% |
6669
79.3 IPS |
|
|
Face Detection (I8)
|
89% |
5433
64.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15185
117.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
16582
128.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
12256
95.0 IPS |
|
|
Style Transfer (F32)
|
100% |
54880
72.2 IPS |
|
|
Style Transfer (F16)
|
100% |
55234
72.7 IPS |
|
|
Style Transfer (I8)
|
98% |
43673
57.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11846
423.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11716
418.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7579
270.7 IPS |
|
|
Text Classification (F32)
|
100% |
1620
2.33 KIPS |
|
|
Text Classification (F16)
|
100% |
1704
2.45 KIPS |
|
|
Text Classification (I8)
|
98% |
956
1.37 KIPS |
|
|
Machine Translation (F32)
|
100% |
2024
37.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2013
37.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1104
20.3 IPS |
