Dell Inc. Dell G15 5515
Geekbench ML Score
7076
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 01:12 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. Dell G15 5515 |
| Motherboard | Dell Inc. 0TGD6F |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3756
702.8 IPS |
|
|
Image Classification (F16)
|
100% |
3707
693.7 IPS |
|
|
Image Classification (I8)
|
100% |
2895
541.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
4818
80.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
4675
78.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3950
66.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
40339
48.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
39995
48.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
31572
38.2 IPS |
|
|
Object Detection (F32)
|
100% |
2668
199.2 IPS |
|
|
Object Detection (F16)
|
100% |
2595
193.7 IPS |
|
|
Object Detection (I8)
|
61% |
2383
177.9 IPS |
|
|
Face Detection (F32)
|
100% |
8464
100.6 IPS |
|
|
Face Detection (F16)
|
100% |
8449
100.5 IPS |
|
|
Face Detection (I8)
|
89% |
6756
80.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
19647
152.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
19260
149.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
15096
117.1 IPS |
|
|
Style Transfer (F32)
|
100% |
61398
80.8 IPS |
|
|
Style Transfer (F16)
|
100% |
59945
78.9 IPS |
|
|
Style Transfer (I8)
|
98% |
56300
74.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11995
428.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11963
427.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7825
279.5 IPS |
|
|
Text Classification (F32)
|
100% |
1792
2.58 KIPS |
|
|
Text Classification (F16)
|
100% |
1772
2.55 KIPS |
|
|
Text Classification (I8)
|
98% |
981
1.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
2107
38.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2107
38.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1166
21.5 IPS |
