LENOVO 21ML0056US
Geekbench AI Score
2778
Single Precision Score
4572
Half Precision Score
2028
Quantized Score
Geekbench AI 1.7.0 Pro for Windows AVX2
Result Information
| User | frankholamresearch |
| Upload Date | April 16 2026 11:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
1297
241.1 IPS |
|
|
Image Classification (HP)
|
100% |
2487
462.5 IPS |
|
|
Image Classification (Q)
|
100% |
1071
199.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4632
75.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1515
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7717
9.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
12144
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
6632
7.77 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
99% |
3081
245.1 IPS |
|
|
Object Detection (Q)
|
86% |
1314
105.7 IPS |
|
|
Face Detection (SP)
|
100% |
2679
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5604
66.6 IPS |
|
|
Face Detection (Q)
|
97% |
2145
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5645
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12674
98.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
4397
35.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23050
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36872
47.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17866
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4069
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5861
216.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2216
82.1 IPS |
|
|
Text Classification (SP)
|
86% |
496
670.4 IPS |
|
|
Text Classification (HP)
|
99% |
432
576.5 IPS |
|
|
Text Classification (Q)
|
84% |
318
431.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1371
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1398
24.1 IPS |
|
|
Machine Translation (Q)
|
70% |
701
13.2 IPS |
