LENOVO 83DG
Geekbench ML Score
11118
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 04 2024 04:47 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4533
848.2 IPS |
|
|
Image Classification (F16)
|
100% |
4115
770.1 IPS |
|
|
Image Classification (I8)
|
100% |
4975
931.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
7931
132.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
7972
133.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
7033
117.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
64175
77.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
62824
76.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
58220
70.5 IPS |
|
|
Object Detection (F32)
|
100% |
4060
303.1 IPS |
|
|
Object Detection (F16)
|
100% |
4325
322.9 IPS |
|
|
Object Detection (I8)
|
61% |
3980
297.1 IPS |
|
|
Face Detection (F32)
|
100% |
15226
181.0 IPS |
|
|
Face Detection (F16)
|
100% |
16212
192.8 IPS |
|
|
Face Detection (I8)
|
89% |
13958
166.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
35039
271.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
26972
209.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
23866
185.1 IPS |
|
|
Style Transfer (F32)
|
100% |
115818
152.3 IPS |
|
|
Style Transfer (F16)
|
100% |
93411
122.9 IPS |
|
|
Style Transfer (I8)
|
98% |
86362
113.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19333
690.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19289
688.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14148
505.3 IPS |
|
|
Text Classification (F32)
|
100% |
2335
3.36 KIPS |
|
|
Text Classification (F16)
|
100% |
2274
3.27 KIPS |
|
|
Text Classification (I8)
|
98% |
1194
1.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
2967
54.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2851
52.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1731
31.9 IPS |
