Dell Inc. Dell G15 5530
Geekbench ML Score
4362
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 09:24 AM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2461
460.5 IPS |
|
|
Image Classification (F16)
|
100% |
2443
457.2 IPS |
|
|
Image Classification (I8)
|
99% |
3841
718.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1974
33.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2012
33.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3034
50.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
9566
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
9683
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
29614
35.9 IPS |
|
|
Object Detection (F32)
|
100% |
2311
172.6 IPS |
|
|
Object Detection (F16)
|
100% |
2324
173.5 IPS |
|
|
Object Detection (I8)
|
62% |
1975
147.4 IPS |
|
|
Face Detection (F32)
|
100% |
4295
51.1 IPS |
|
|
Face Detection (F16)
|
100% |
4390
52.2 IPS |
|
|
Face Detection (I8)
|
89% |
4623
55.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
9376
72.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
8917
69.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
13787
106.9 IPS |
|
|
Style Transfer (F32)
|
100% |
21954
28.9 IPS |
|
|
Style Transfer (F16)
|
100% |
22183
29.2 IPS |
|
|
Style Transfer (I8)
|
98% |
21818
28.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4453
159.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4419
157.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4965
177.3 IPS |
|
|
Text Classification (F32)
|
100% |
1486
2.14 KIPS |
|
|
Text Classification (F16)
|
100% |
1580
2.27 KIPS |
|
|
Text Classification (I8)
|
98% |
489
703.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2335
43.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2312
42.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2969
54.6 IPS |
