Dell Inc. Dell G15 5530
Geekbench ML Score
12703
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 09:29 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Dell Inc. Dell G15 5530 |
| Motherboard | Dell Inc. 093NCR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4944
925.2 IPS |
|
|
Image Classification (F16)
|
100% |
5614
1.05 KIPS |
|
|
Image Classification (I8)
|
100% |
4825
903.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
9503
158.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
9324
155.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
8507
142.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
78829
95.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
78641
95.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
70088
84.9 IPS |
|
|
Object Detection (F32)
|
100% |
5081
379.3 IPS |
|
|
Object Detection (F16)
|
100% |
4822
360.0 IPS |
|
|
Object Detection (I8)
|
61% |
4660
347.9 IPS |
|
|
Face Detection (F32)
|
100% |
16058
190.9 IPS |
|
|
Face Detection (F16)
|
100% |
15687
186.5 IPS |
|
|
Face Detection (I8)
|
89% |
13689
162.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
33456
259.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
32086
248.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
29369
227.8 IPS |
|
|
Style Transfer (F32)
|
100% |
127935
168.3 IPS |
|
|
Style Transfer (F16)
|
100% |
121898
160.3 IPS |
|
|
Style Transfer (I8)
|
98% |
112015
147.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23503
839.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23177
827.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17706
632.3 IPS |
|
|
Text Classification (F32)
|
100% |
2592
3.72 KIPS |
|
|
Text Classification (F16)
|
100% |
2699
3.88 KIPS |
|
|
Text Classification (I8)
|
98% |
1374
1.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
2963
54.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2968
54.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1691
31.1 IPS |
