Lenovo ThinkPad T490 - i5-8265U - Windows 10 LENOVO 20N2001YUS
Geekbench AI Score
920
Single Precision Score
1074
Half Precision Score
748
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 16 2025 02:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20N2001YUS |
| Motherboard | LENOVO 20N2001YUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8265U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
392
72.8 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (Q)
|
100% |
400
74.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
557
9.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
482
7.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
2234
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3552
4.14 IPS |
|
|
Pose Estimation (Q)
|
97% |
2030
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
472
37.5 IPS |
|
|
Object Detection (HP)
|
98% |
483
38.4 IPS |
|
|
Object Detection (Q)
|
86% |
429
34.5 IPS |
|
|
Face Detection (SP)
|
100% |
895
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
781
9.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
1663
12.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2086
16.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
1435
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5717
7.35 IPS |
|
|
Style Transfer (HP)
|
100% |
8542
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
4854
6.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1143
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
866
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
423
564.2 IPS |
|
|
Text Classification (HP)
|
100% |
282
375.8 IPS |
|
|
Text Classification (Q)
|
97% |
263
352.7 IPS |
|
|
Machine Translation (SP)
|
100% |
459
7.90 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.17 IPS |
|
|
Machine Translation (Q)
|
70% |
265
4.98 IPS |
