LENOVO 21ML0052US
Geekbench AI Score
1649
Single Precision Score
776
Half Precision Score
2525
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 02:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21ML0052US |
| Motherboard | LENOVO 21ML0052US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1054
195.9 IPS |
|
|
Image Classification (HP)
|
100% |
305
56.8 IPS |
|
|
Image Classification (Q)
|
99% |
1825
340.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
553
8.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
1981
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3072
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2070
2.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
10536
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1135
90.0 IPS |
|
|
Object Detection (HP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (Q)
|
88% |
1048
84.0 IPS |
|
|
Face Detection (SP)
|
100% |
1696
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
862
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
2456
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3487
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1158
8.92 IPS |
|
|
Depth Estimation (Q)
|
77% |
4258
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7328
9.42 IPS |
|
|
Style Transfer (HP)
|
100% |
5147
6.62 IPS |
|
|
Style Transfer (Q)
|
98% |
10811
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1270
46.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
960
35.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2304
85.3 IPS |
|
|
Text Classification (SP)
|
100% |
1000
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
390
520.7 IPS |
|
|
Text Classification (Q)
|
97% |
917
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
314
5.41 IPS |
|
|
Machine Translation (Q)
|
60% |
1105
24.7 IPS |
