LENOVO 10RRS33N00
Geekbench ML Score
1170
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 27 2024 06:14 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% |
532
99.5 IPS |
|
|
Image Classification (F16)
|
100% |
314
58.8 IPS |
|
|
Image Classification (I8)
|
97% |
1125
210.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
461
7.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
467
7.80 IPS |
|
|
Image Segmentation (I8)
|
97% |
952
15.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1754
2.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
1385
1.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
5081
6.15 IPS |
|
|
Object Detection (F32)
|
100% |
695
51.9 IPS |
|
|
Object Detection (F16)
|
100% |
445
33.3 IPS |
|
|
Object Detection (I8)
|
60% |
578
43.1 IPS |
|
|
Face Detection (F32)
|
100% |
620
7.37 IPS |
|
|
Face Detection (F16)
|
100% |
720
8.56 IPS |
|
|
Face Detection (I8)
|
87% |
1907
22.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2025
15.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
1450
11.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
4776
37.0 IPS |
|
|
Style Transfer (F32)
|
100% |
3860
5.08 IPS |
|
|
Style Transfer (F16)
|
100% |
4369
5.75 IPS |
|
|
Style Transfer (I8)
|
85% |
6426
8.45 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1320
47.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1341
47.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1905
68.0 IPS |
|
|
Text Classification (F32)
|
100% |
1001
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
984
1.41 KIPS |
|
|
Text Classification (I8)
|
94% |
300
431.2 IPS |
|
|
Machine Translation (F32)
|
100% |
914
16.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1005
18.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1126
20.7 IPS |
