Lenovo ThinkPad T16 Gen 4 LENOVO 21QE005NUS
Geekbench AI Score
2531
Single Precision Score
1068
Half Precision Score
5523
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | miesupport |
| Upload Date | November 26 2025 10:36 PM |
| Views | 4 |
| Notes | LENOVO 21QE005NUS |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QE005NUS |
| Motherboard | LENOVO 21QE005NUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2226
414.0 IPS |
|
|
Image Classification (HP)
|
100% |
513
95.4 IPS |
|
|
Image Classification (Q)
|
99% |
5157
961.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1208
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6810
110.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4429
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2601
3.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
13936
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1861
147.7 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.9 IPS |
|
|
Object Detection (Q)
|
86% |
4467
359.0 IPS |
|
|
Face Detection (SP)
|
100% |
4474
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
1287
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
7914
94.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5409
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1667
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12118
96.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7267
9.34 IPS |
|
|
Style Transfer (HP)
|
100% |
4137
5.32 IPS |
|
|
Style Transfer (Q)
|
98% |
13433
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1488
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1064
39.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3773
139.7 IPS |
|
|
Text Classification (SP)
|
100% |
1420
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
609
812.5 IPS |
|
|
Text Classification (Q)
|
97% |
1214
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.03 IPS |
|
|
Machine Translation (Q)
|
65% |
2049
41.2 IPS |
