LENOVO 11T4S8D104
Geekbench ML Score
1194
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | pax_magelanis |
| Upload Date | October 02 2024 09:37 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 | DirectML |
| Device | Intel(R) UHD Graphics 770 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
555
103.9 IPS |
|
|
Image Classification (F16)
|
100% |
553
103.5 IPS |
|
|
Image Classification (I8)
|
100% |
462
86.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
790
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
791
13.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
631
10.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
4434
5.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
4400
5.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
3095
3.75 IPS |
|
|
Object Detection (F32)
|
100% |
620
46.3 IPS |
|
|
Object Detection (F16)
|
100% |
634
47.3 IPS |
|
|
Object Detection (I8)
|
54% |
529
39.5 IPS |
|
|
Face Detection (F32)
|
100% |
1171
13.9 IPS |
|
|
Face Detection (F16)
|
100% |
1110
13.2 IPS |
|
|
Face Detection (I8)
|
89% |
758
9.01 IPS |
|
|
Depth Estimation (F32)
|
100% |
2538
19.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2552
19.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
1994
15.5 IPS |
|
|
Style Transfer (F32)
|
100% |
9239
12.2 IPS |
|
|
Style Transfer (F16)
|
100% |
8995
11.8 IPS |
|
|
Style Transfer (I8)
|
98% |
6620
8.71 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1555
55.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1551
55.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
859
30.7 IPS |
|
|
Text Classification (F32)
|
100% |
646
927.8 IPS |
|
|
Text Classification (F16)
|
100% |
713
1.02 KIPS |
|
|
Text Classification (I8)
|
98% |
363
522.1 IPS |
|
|
Machine Translation (F32)
|
100% |
569
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
591
10.9 IPS |
|
|
Machine Translation (I8)
|
70% |
357
6.56 IPS |
