LENOVO T14 Gen3 (Intel) LENOVO 21AJS29F00
Geekbench AI Score
1990
Single Precision Score
869
Half Precision Score
3062
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | clewisNMU |
| Upload Date | March 31 2025 07:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21AJS29F00 |
| Motherboard | LENOVO 21AJS29F00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1588
295.3 IPS |
|
|
Image Classification (HP)
|
100% |
355
66.0 IPS |
|
|
Image Classification (Q)
|
99% |
3545
661.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
959
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1716
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3124
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1952
2.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
8993
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1487
117.9 IPS |
|
|
Object Detection (HP)
|
100% |
432
34.3 IPS |
|
|
Object Detection (Q)
|
86% |
2601
209.0 IPS |
|
|
Face Detection (SP)
|
100% |
2580
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
939
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
4883
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4151
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1201
9.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
7933
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7375
9.48 IPS |
|
|
Style Transfer (HP)
|
100% |
4669
6.00 IPS |
|
|
Style Transfer (Q)
|
98% |
9184
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1454
53.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2337
86.5 IPS |
|
|
Text Classification (SP)
|
100% |
1023
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
499
666.0 IPS |
|
|
Text Classification (Q)
|
97% |
417
558.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
65% |
1473
29.6 IPS |
