LENOVO 21ML0056US
Geekbench AI Score
949
Single Precision Score
425
Half Precision Score
1638
Quantized Score
Geekbench AI 1.7.0 Pro for Windows AVX2
Result Information
| User | frankholamresearch |
| Upload Date | April 16 2026 11:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 135U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21ML0056US |
| Motherboard | LENOVO 21ML0056US |
| Power Plan | Task Sequence High Performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1549
288.1 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.2 IPS |
|
|
Image Classification (Q)
|
99% |
3230
602.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
774
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
1576
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1742
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1228
1.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
5326
6.25 IPS |
|
|
Object Detection (SP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (HP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (Q)
|
86% |
652
52.4 IPS |
|
|
Face Detection (SP)
|
100% |
1103
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
255
3.03 IPS |
|
|
Face Detection (Q)
|
97% |
1456
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1331
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
447
3.45 IPS |
|
|
Depth Estimation (Q)
|
78% |
2863
22.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4548
5.85 IPS |
|
|
Style Transfer (HP)
|
100% |
3384
4.35 IPS |
|
|
Style Transfer (Q)
|
98% |
8147
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
426
15.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1302
48.2 IPS |
|
|
Text Classification (SP)
|
100% |
274
365.3 IPS |
|
|
Text Classification (HP)
|
100% |
206
274.7 IPS |
|
|
Text Classification (Q)
|
97% |
350
468.3 IPS |
|
|
Machine Translation (SP)
|
100% |
561
9.66 IPS |
|
|
Machine Translation (HP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (Q)
|
65% |
509
10.2 IPS |
