LENOVO 83D4
Geekbench ML Score
3222
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 07 2024 01:09 PM |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1625
304.1 IPS |
|
|
Image Classification (F16)
|
100% |
1593
298.1 IPS |
|
|
Image Classification (I8)
|
99% |
2952
552.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1387
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1505
25.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2392
39.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6118
7.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
6155
7.45 IPS |
|
|
Pose Estimation (I8)
|
100% |
20147
24.4 IPS |
|
|
Object Detection (F32)
|
100% |
1565
116.8 IPS |
|
|
Object Detection (F16)
|
100% |
1639
122.3 IPS |
|
|
Object Detection (I8)
|
62% |
1436
107.2 IPS |
|
|
Face Detection (F32)
|
100% |
3701
44.0 IPS |
|
|
Face Detection (F16)
|
100% |
3724
44.3 IPS |
|
|
Face Detection (I8)
|
89% |
3872
46.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6675
51.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6749
52.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
13099
101.6 IPS |
|
|
Style Transfer (F32)
|
100% |
14714
19.4 IPS |
|
|
Style Transfer (F16)
|
100% |
14493
19.1 IPS |
|
|
Style Transfer (I8)
|
98% |
19841
26.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2675
95.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2682
95.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4168
148.8 IPS |
|
|
Text Classification (F32)
|
100% |
1165
1.67 KIPS |
|
|
Text Classification (F16)
|
100% |
1175
1.69 KIPS |
|
|
Text Classification (I8)
|
98% |
416
597.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1634
30.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1686
31.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2647
48.7 IPS |
