LENOVO 90V6000KUS
Geekbench ML Score
5190
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 02:32 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 90V6000KUS |
| Motherboard | LENOVO 376A |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2839
531.2 IPS |
|
|
Image Classification (F16)
|
100% |
2864
535.9 IPS |
|
|
Image Classification (I8)
|
99% |
4808
899.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2356
39.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2332
39.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3874
64.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
11362
13.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
11493
13.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
37991
46.0 IPS |
|
|
Object Detection (F32)
|
100% |
2479
185.0 IPS |
|
|
Object Detection (F16)
|
100% |
2829
211.2 IPS |
|
|
Object Detection (I8)
|
62% |
2343
175.0 IPS |
|
|
Face Detection (F32)
|
100% |
4885
58.1 IPS |
|
|
Face Detection (F16)
|
100% |
4883
58.1 IPS |
|
|
Face Detection (I8)
|
89% |
5270
62.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
11092
86.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11253
87.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
18221
141.3 IPS |
|
|
Style Transfer (F32)
|
100% |
26625
35.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27706
36.4 IPS |
|
|
Style Transfer (I8)
|
98% |
27073
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5007
178.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5221
186.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6290
224.6 IPS |
|
|
Text Classification (F32)
|
100% |
1924
2.76 KIPS |
|
|
Text Classification (F16)
|
100% |
1812
2.60 KIPS |
|
|
Text Classification (I8)
|
98% |
521
748.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2590
47.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2584
47.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3693
68.0 IPS |
