LENOVO 82K1
Geekbench ML Score
2033
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 12:48 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82K1 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11320H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1282
239.8 IPS |
|
|
Image Classification (F16)
|
100% |
1276
238.7 IPS |
|
|
Image Classification (I8)
|
99% |
2166
405.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
762
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
726
12.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1502
25.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
3433
4.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
3573
4.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
11749
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1068
79.7 IPS |
|
|
Object Detection (F16)
|
100% |
1074
80.2 IPS |
|
|
Object Detection (I8)
|
62% |
1254
93.6 IPS |
|
|
Face Detection (F32)
|
100% |
1199
14.3 IPS |
|
|
Face Detection (F16)
|
100% |
1185
14.1 IPS |
|
|
Face Detection (I8)
|
89% |
2402
28.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3742
29.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3756
29.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
8571
66.5 IPS |
|
|
Style Transfer (F32)
|
100% |
7978
10.5 IPS |
|
|
Style Transfer (F16)
|
100% |
7837
10.3 IPS |
|
|
Style Transfer (I8)
|
98% |
8924
11.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1679
60.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1648
58.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2975
106.2 IPS |
|
|
Text Classification (F32)
|
100% |
1369
1.97 KIPS |
|
|
Text Classification (F16)
|
100% |
1344
1.93 KIPS |
|
|
Text Classification (I8)
|
98% |
417
598.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1164
21.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1168
21.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1481
27.3 IPS |
