LENOVO 83DG
Geekbench ML Score
1426
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 04 2024 04:46 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 | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
683
127.8 IPS |
|
|
Image Classification (F16)
|
100% |
681
127.4 IPS |
|
|
Image Classification (I8)
|
100% |
571
106.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
996
16.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
988
16.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
769
12.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5539
6.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
5551
6.72 IPS |
|
|
Pose Estimation (I8)
|
100% |
3619
4.38 IPS |
|
|
Object Detection (F32)
|
100% |
714
53.3 IPS |
|
|
Object Detection (F16)
|
100% |
693
51.8 IPS |
|
|
Object Detection (I8)
|
54% |
593
44.3 IPS |
|
|
Face Detection (F32)
|
100% |
1484
17.6 IPS |
|
|
Face Detection (F16)
|
100% |
1485
17.7 IPS |
|
|
Face Detection (I8)
|
89% |
1060
12.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3090
24.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3072
23.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
2356
18.3 IPS |
|
|
Style Transfer (F32)
|
100% |
10981
14.4 IPS |
|
|
Style Transfer (F16)
|
100% |
10958
14.4 IPS |
|
|
Style Transfer (I8)
|
98% |
8287
10.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1821
65.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1812
64.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
978
34.9 IPS |
|
|
Text Classification (F32)
|
100% |
700
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
754
1.08 KIPS |
|
|
Text Classification (I8)
|
98% |
378
543.9 IPS |
|
|
Machine Translation (F32)
|
100% |
685
12.6 IPS |
|
|
Machine Translation (F16)
|
100% |
682
12.6 IPS |
|
|
Machine Translation (I8)
|
70% |
409
7.53 IPS |
