LENOVO 21KR
Geekbench ML Score
2608
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 26 2024 04:52 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KR |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 9 |
| L1 Data Cache | 48.0 KB x 9 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 18.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1312
245.5 IPS |
|
|
Image Classification (F16)
|
100% |
1312
245.5 IPS |
|
|
Image Classification (I8)
|
99% |
2493
466.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
816
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1251
20.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2314
38.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4289
5.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
4629
5.61 IPS |
|
|
Pose Estimation (I8)
|
100% |
17086
20.7 IPS |
|
|
Object Detection (F32)
|
100% |
1488
111.1 IPS |
|
|
Object Detection (F16)
|
100% |
1465
109.3 IPS |
|
|
Object Detection (I8)
|
62% |
1366
102.0 IPS |
|
|
Face Detection (F32)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (F16)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (I8)
|
89% |
3446
41.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4950
38.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4840
37.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
10564
81.9 IPS |
|
|
Style Transfer (F32)
|
100% |
11348
14.9 IPS |
|
|
Style Transfer (F16)
|
100% |
10073
13.3 IPS |
|
|
Style Transfer (I8)
|
98% |
16699
22.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2302
82.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2206
78.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3522
125.8 IPS |
|
|
Text Classification (F32)
|
100% |
993
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
927
1.33 KIPS |
|
|
Text Classification (I8)
|
98% |
361
519.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1090
20.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1223
22.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2306
42.4 IPS |
