LENOVO 90V6000KUS
Geekbench ML Score
5128
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 02:33 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% |
2856
534.5 IPS |
|
|
Image Classification (F16)
|
100% |
2810
525.9 IPS |
|
|
Image Classification (I8)
|
99% |
4712
881.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2238
37.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2303
38.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3540
59.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
11414
13.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
11401
13.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
37602
45.5 IPS |
|
|
Object Detection (F32)
|
100% |
2577
192.4 IPS |
|
|
Object Detection (F16)
|
100% |
2551
190.5 IPS |
|
|
Object Detection (I8)
|
62% |
2311
172.5 IPS |
|
|
Face Detection (F32)
|
100% |
4906
58.3 IPS |
|
|
Face Detection (F16)
|
100% |
4355
51.8 IPS |
|
|
Face Detection (I8)
|
89% |
5093
60.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
11099
86.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11222
87.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
18844
146.1 IPS |
|
|
Style Transfer (F32)
|
100% |
26336
34.6 IPS |
|
|
Style Transfer (F16)
|
100% |
26442
34.8 IPS |
|
|
Style Transfer (I8)
|
98% |
27113
35.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4838
172.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5284
188.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6354
226.9 IPS |
|
|
Text Classification (F32)
|
100% |
1781
2.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1852
2.66 KIPS |
|
|
Text Classification (I8)
|
98% |
615
884.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2413
44.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2630
48.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3859
71.0 IPS |
