Dell Inc. Dell G15 5535
Geekbench ML Score
9524
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | kshaikh |
| Upload Date | May 26 2024 06:22 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Dell G15 5535 |
| Motherboard | Dell Inc. 0P3GGK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 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% |
3050
570.8 IPS |
|
|
Image Classification (F16)
|
100% |
4142
775.0 IPS |
|
|
Image Classification (I8)
|
100% |
4355
815.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
7625
127.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
7865
131.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
5848
97.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
65218
79.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
68991
83.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
65066
78.8 IPS |
|
|
Object Detection (F32)
|
100% |
2679
200.0 IPS |
|
|
Object Detection (F16)
|
100% |
2558
191.0 IPS |
|
|
Object Detection (I8)
|
61% |
2373
177.2 IPS |
|
|
Face Detection (F32)
|
100% |
11513
136.9 IPS |
|
|
Face Detection (F16)
|
100% |
11379
135.3 IPS |
|
|
Face Detection (I8)
|
89% |
10002
118.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
27886
216.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
27478
213.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
23531
182.5 IPS |
|
|
Style Transfer (F32)
|
100% |
109613
144.2 IPS |
|
|
Style Transfer (F16)
|
100% |
116284
153.0 IPS |
|
|
Style Transfer (I8)
|
98% |
102063
134.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18050
644.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17851
637.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14205
507.3 IPS |
|
|
Text Classification (F32)
|
100% |
2084
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
1994
2.87 KIPS |
|
|
Text Classification (I8)
|
98% |
891
1.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
1930
35.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2031
37.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1237
22.8 IPS |
