LENOVO 21AK0028US
Geekbench AI Score
2292
Single Precision Score
2469
Half Precision Score
1506
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 18 2025 06:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21AK0028US |
| Motherboard | LENOVO 21AK0028US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1077
200.3 IPS |
|
|
Image Classification (HP)
|
100% |
1241
230.8 IPS |
|
|
Image Classification (Q)
|
100% |
860
160.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1763
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2020
32.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1257
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8619
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
5095
5.97 IPS |
|
|
Object Detection (SP)
|
100% |
1123
89.1 IPS |
|
|
Object Detection (HP)
|
98% |
1172
93.2 IPS |
|
|
Object Detection (Q)
|
86% |
1059
85.1 IPS |
|
|
Face Detection (SP)
|
100% |
2070
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
2486
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
1713
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4063
31.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4771
36.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2687
21.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19040
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23196
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
11298
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2762
102.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3588
132.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1263
46.8 IPS |
|
|
Text Classification (SP)
|
100% |
595
794.7 IPS |
|
|
Text Classification (HP)
|
100% |
337
449.4 IPS |
|
|
Text Classification (Q)
|
97% |
350
468.3 IPS |
|
|
Machine Translation (SP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (Q)
|
70% |
450
8.44 IPS |
