LENOVO 83DG
Geekbench ML Score
11130
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 04 2024 04:49 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% |
5791
1.08 KIPS |
|
|
Image Classification (F16)
|
100% |
5595
1.05 KIPS |
|
|
Image Classification (I8)
|
100% |
5203
973.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
9277
154.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
7734
129.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
7448
124.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
63718
77.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
63570
77.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
57019
69.0 IPS |
|
|
Object Detection (F32)
|
100% |
3749
279.9 IPS |
|
|
Object Detection (F16)
|
100% |
4257
317.8 IPS |
|
|
Object Detection (I8)
|
61% |
3872
289.0 IPS |
|
|
Face Detection (F32)
|
100% |
14345
170.6 IPS |
|
|
Face Detection (F16)
|
100% |
15259
181.4 IPS |
|
|
Face Detection (I8)
|
89% |
12410
147.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
33077
256.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
24100
186.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
27206
211.0 IPS |
|
|
Style Transfer (F32)
|
100% |
94859
124.8 IPS |
|
|
Style Transfer (F16)
|
100% |
102220
134.5 IPS |
|
|
Style Transfer (I8)
|
98% |
85397
112.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16460
587.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16715
596.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13397
478.5 IPS |
|
|
Text Classification (F32)
|
100% |
2393
3.44 KIPS |
|
|
Text Classification (F16)
|
100% |
2424
3.48 KIPS |
|
|
Text Classification (I8)
|
98% |
1157
1.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
2936
54.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2991
55.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1826
33.6 IPS |
