LENOVO 30H0006AGE
Geekbench ML Score
4432
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 12 2024 11:01 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30H0006AGE |
| Motherboard | LENOVO 3333 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2398
448.8 IPS |
|
|
Image Classification (F16)
|
100% |
2410
450.9 IPS |
|
|
Image Classification (I8)
|
99% |
3974
743.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1973
33.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1937
32.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2683
44.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
10232
12.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
10057
12.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
31010
37.6 IPS |
|
|
Object Detection (F32)
|
100% |
2188
163.4 IPS |
|
|
Object Detection (F16)
|
100% |
2187
163.3 IPS |
|
|
Object Detection (I8)
|
62% |
1964
146.6 IPS |
|
|
Face Detection (F32)
|
100% |
4690
55.8 IPS |
|
|
Face Detection (F16)
|
100% |
4702
55.9 IPS |
|
|
Face Detection (I8)
|
89% |
4756
56.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
9323
72.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9629
74.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
15543
120.5 IPS |
|
|
Style Transfer (F32)
|
100% |
22246
29.3 IPS |
|
|
Style Transfer (F16)
|
100% |
22894
30.1 IPS |
|
|
Style Transfer (I8)
|
98% |
25694
33.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4291
153.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4290
153.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5280
188.6 IPS |
|
|
Text Classification (F32)
|
100% |
1570
2.26 KIPS |
|
|
Text Classification (F16)
|
100% |
1641
2.36 KIPS |
|
|
Text Classification (I8)
|
98% |
519
745.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2251
41.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2146
39.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2958
54.4 IPS |
