LENOVO 83D4
Geekbench ML Score
4147
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 23 2024 10:07 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83D4 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2249
420.8 IPS |
|
|
Image Classification (F16)
|
100% |
2277
426.2 IPS |
|
|
Image Classification (I8)
|
100% |
1929
361.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2990
49.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2990
49.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2423
40.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
17769
21.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17312
21.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
13843
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
2078
155.1 IPS |
|
|
Object Detection (F16)
|
100% |
2225
166.1 IPS |
|
|
Object Detection (I8)
|
54% |
1773
132.3 IPS |
|
|
Face Detection (F32)
|
100% |
4780
56.8 IPS |
|
|
Face Detection (F16)
|
100% |
4577
54.4 IPS |
|
|
Face Detection (I8)
|
89% |
3352
39.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
10214
79.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
9992
77.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
8153
63.2 IPS |
|
|
Style Transfer (F32)
|
100% |
46731
61.5 IPS |
|
|
Style Transfer (F16)
|
100% |
45105
59.3 IPS |
|
|
Style Transfer (I8)
|
98% |
33899
44.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6668
238.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7701
275.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4015
143.4 IPS |
|
|
Text Classification (F32)
|
90% |
757
1.09 KIPS |
|
|
Text Classification (F16)
|
90% |
727
1.04 KIPS |
|
|
Text Classification (I8)
|
90% |
556
799.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1377
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1391
25.6 IPS |
|
|
Machine Translation (I8)
|
70% |
871
16.0 IPS |
