LENOVO 10RRS33N00
Geekbench ML Score
1413
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 08:56 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% |
986
184.4 IPS |
|
|
Image Classification (F16)
|
100% |
1009
188.7 IPS |
|
|
Image Classification (I8)
|
97% |
1495
279.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
711
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
696
11.6 IPS |
|
|
Image Segmentation (I8)
|
97% |
968
16.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
2467
2.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
2375
2.88 IPS |
|
|
Pose Estimation (I8)
|
100% |
4851
5.87 IPS |
|
|
Object Detection (F32)
|
100% |
859
64.1 IPS |
|
|
Object Detection (F16)
|
100% |
332
24.8 IPS |
|
|
Object Detection (I8)
|
60% |
925
69.0 IPS |
|
|
Face Detection (F32)
|
100% |
984
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
874
10.4 IPS |
|
|
Face Detection (I8)
|
87% |
1711
20.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
1475
11.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
1204
9.34 IPS |
|
|
Depth Estimation (I8)
|
74% |
5366
41.6 IPS |
|
|
Style Transfer (F32)
|
100% |
7197
9.47 IPS |
|
|
Style Transfer (F16)
|
100% |
6123
8.05 IPS |
|
|
Style Transfer (I8)
|
85% |
5741
7.55 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1409
50.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1190
42.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1894
67.7 IPS |
|
|
Text Classification (F32)
|
100% |
1113
1.60 KIPS |
|
|
Text Classification (F16)
|
100% |
1092
1.57 KIPS |
|
|
Text Classification (I8)
|
94% |
305
438.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1069
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1083
19.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1262
23.2 IPS |
