LENOVO 21TU
Geekbench AI Score
5664
Single Precision Score
6401
Half Precision Score
4159
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | khdhmnyu |
| Upload Date | April 04 2025 09:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 130T GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21TU |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3288
611.5 IPS |
|
|
Image Classification (HP)
|
100% |
3824
711.2 IPS |
|
|
Image Classification (Q)
|
99% |
2523
470.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3091
50.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7056
114.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2357
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22823
26.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
18508
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
18200
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
3659
290.2 IPS |
|
|
Object Detection (HP)
|
99% |
3670
291.9 IPS |
|
|
Object Detection (Q)
|
85% |
2884
232.1 IPS |
|
|
Face Detection (SP)
|
100% |
7143
84.9 IPS |
|
|
Face Detection (HP)
|
100% |
7730
91.9 IPS |
|
|
Face Detection (Q)
|
97% |
5271
62.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13536
104.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
15306
118.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
10190
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
46984
60.4 IPS |
|
|
Style Transfer (HP)
|
100% |
44522
57.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35537
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5927
218.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9737
359.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4598
170.2 IPS |
|
|
Text Classification (SP)
|
86% |
815
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
731
976.3 IPS |
|
|
Text Classification (Q)
|
84% |
581
788.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1826
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1682
29.0 IPS |
|
|
Machine Translation (Q)
|
70% |
973
18.2 IPS |
