LENOVO 11T4S8D104
Geekbench ML Score
1627
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | pax_magelanis |
| Upload Date | October 02 2024 09:33 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 11T4S8D104 |
| Motherboard | LENOVO 330B |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500T |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 6 |
| L3 Cache | 18.0 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% |
768
143.7 IPS |
|
|
Image Classification (F16)
|
100% |
777
145.5 IPS |
|
|
Image Classification (I8)
|
99% |
1890
353.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
737
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
728
12.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1558
26.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
2015
2.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
1922
2.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
9886
12.0 IPS |
|
|
Object Detection (F32)
|
100% |
766
57.2 IPS |
|
|
Object Detection (F16)
|
100% |
755
56.4 IPS |
|
|
Object Detection (I8)
|
62% |
904
67.5 IPS |
|
|
Face Detection (F32)
|
100% |
1168
13.9 IPS |
|
|
Face Detection (F16)
|
100% |
1201
14.3 IPS |
|
|
Face Detection (I8)
|
89% |
2087
24.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2400
18.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2510
19.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
7046
54.6 IPS |
|
|
Style Transfer (F32)
|
100% |
5314
6.99 IPS |
|
|
Style Transfer (F16)
|
100% |
5114
6.73 IPS |
|
|
Style Transfer (I8)
|
98% |
8522
11.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1098
39.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1112
39.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2605
93.0 IPS |
|
|
Text Classification (F32)
|
100% |
851
1.22 KIPS |
|
|
Text Classification (F16)
|
100% |
898
1.29 KIPS |
|
|
Text Classification (I8)
|
98% |
808
1.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
1061
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1081
19.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1801
33.1 IPS |
