LENOVO 21QT0029US
Geekbench AI Score
5832
Single Precision Score
9341
Half Precision Score
3853
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | March 14 2026 10:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QT0029US |
| Motherboard | LENOVO 21QT0029US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3744
696.3 IPS |
|
|
Image Classification (HP)
|
100% |
5079
944.6 IPS |
|
|
Image Classification (Q)
|
99% |
2905
541.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3551
57.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7607
123.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2343
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13655
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20915
24.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
10897
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
3787
300.4 IPS |
|
|
Object Detection (HP)
|
100% |
6181
490.3 IPS |
|
|
Object Detection (Q)
|
84% |
2878
232.3 IPS |
|
|
Face Detection (SP)
|
100% |
4377
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
8506
101.1 IPS |
|
|
Face Detection (Q)
|
97% |
3110
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12806
98.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24975
192.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
10074
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
48454
62.3 IPS |
|
|
Style Transfer (HP)
|
100% |
89793
115.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29425
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7461
275.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13982
516.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4092
151.5 IPS |
|
|
Text Classification (SP)
|
100% |
1494
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1624
2.17 KIPS |
|
|
Text Classification (Q)
|
97% |
877
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2190
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2338
40.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1022
19.2 IPS |
