LENOVO 10RRS33N00
Geekbench ML Score
804
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 08:09 AM |
| Views | 2 |
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% |
293
54.8 IPS |
|
|
Image Classification (F16)
|
100% |
226
42.3 IPS |
|
|
Image Classification (I8)
|
97% |
1044
195.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
329
5.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
367
6.13 IPS |
|
|
Image Segmentation (I8)
|
97% |
507
8.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
1267
1.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
1738
2.10 IPS |
|
|
Pose Estimation (I8)
|
100% |
1904
2.31 IPS |
|
|
Object Detection (F32)
|
100% |
363
27.1 IPS |
|
|
Object Detection (F16)
|
100% |
212
15.8 IPS |
|
|
Object Detection (I8)
|
60% |
410
30.6 IPS |
|
|
Face Detection (F32)
|
100% |
613
7.29 IPS |
|
|
Face Detection (F16)
|
100% |
561
6.67 IPS |
|
|
Face Detection (I8)
|
87% |
1161
13.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1151
8.93 IPS |
|
|
Depth Estimation (F16)
|
100% |
890
6.90 IPS |
|
|
Depth Estimation (I8)
|
74% |
2846
22.1 IPS |
|
|
Style Transfer (F32)
|
100% |
2599
3.42 IPS |
|
|
Style Transfer (F16)
|
100% |
3353
4.41 IPS |
|
|
Style Transfer (I8)
|
85% |
5513
7.25 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
822
29.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
619
22.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1631
58.2 IPS |
|
|
Text Classification (F32)
|
100% |
900
1.29 KIPS |
|
|
Text Classification (F16)
|
100% |
818
1.17 KIPS |
|
|
Text Classification (I8)
|
94% |
233
335.4 IPS |
|
|
Machine Translation (F32)
|
100% |
736
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
650
12.0 IPS |
|
|
Machine Translation (I8)
|
67% |
688
12.7 IPS |
