LENOVO 10RRS33N00
Geekbench ML Score
1191
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 25 2024 06:17 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 10RRS33N00 |
| Motherboard | LENOVO 3136 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600T |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 3 |
| L1 Data Cache | 32.0 KB x 3 |
| L2 Cache | 256 KB x 3 |
| L3 Cache | 9.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
548
102.6 IPS |
|
|
Image Classification (F16)
|
100% |
475
88.8 IPS |
|
|
Image Classification (I8)
|
97% |
1285
240.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
506
8.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
531
8.86 IPS |
|
|
Image Segmentation (I8)
|
97% |
1116
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
2102
2.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
2788
3.38 IPS |
|
|
Pose Estimation (I8)
|
100% |
4844
5.87 IPS |
|
|
Object Detection (F32)
|
100% |
788
58.8 IPS |
|
|
Object Detection (F16)
|
100% |
424
31.7 IPS |
|
|
Object Detection (I8)
|
60% |
804
60.0 IPS |
|
|
Face Detection (F32)
|
100% |
890
10.6 IPS |
|
|
Face Detection (F16)
|
100% |
841
10.00 IPS |
|
|
Face Detection (I8)
|
87% |
1807
21.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1148
8.90 IPS |
|
|
Depth Estimation (F16)
|
100% |
1295
10.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
4699
36.4 IPS |
|
|
Style Transfer (F32)
|
100% |
3031
3.99 IPS |
|
|
Style Transfer (F16)
|
100% |
3902
5.13 IPS |
|
|
Style Transfer (I8)
|
85% |
6134
8.07 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
842
30.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1224
43.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1611
57.5 IPS |
|
|
Text Classification (F32)
|
100% |
999
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
806
1.16 KIPS |
|
|
Text Classification (I8)
|
94% |
273
392.4 IPS |
|
|
Machine Translation (F32)
|
100% |
882
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
937
17.2 IPS |
|
|
Machine Translation (I8)
|
67% |
1204
22.1 IPS |
