LENOVO 82R7
Geekbench ML Score
2426
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 12 2024 08:43 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82R7 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 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% |
1209
226.2 IPS |
|
|
Image Classification (F16)
|
100% |
1291
241.6 IPS |
|
|
Image Classification (I8)
|
99% |
2068
387.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1108
18.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1001
16.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2263
37.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
3554
4.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
3503
4.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
9990
12.1 IPS |
|
|
Object Detection (F32)
|
100% |
1297
96.8 IPS |
|
|
Object Detection (F16)
|
100% |
1234
92.1 IPS |
|
|
Object Detection (I8)
|
62% |
1198
89.4 IPS |
|
|
Face Detection (F32)
|
100% |
2427
28.9 IPS |
|
|
Face Detection (F16)
|
100% |
2464
29.3 IPS |
|
|
Face Detection (I8)
|
89% |
3018
35.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4007
31.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4023
31.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
8160
63.3 IPS |
|
|
Style Transfer (F32)
|
100% |
8801
11.6 IPS |
|
|
Style Transfer (F16)
|
100% |
8664
11.4 IPS |
|
|
Style Transfer (I8)
|
98% |
13574
17.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2078
74.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2006
71.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3223
115.1 IPS |
|
|
Text Classification (F32)
|
100% |
1151
1.65 KIPS |
|
|
Text Classification (F16)
|
100% |
1113
1.60 KIPS |
|
|
Text Classification (I8)
|
98% |
1013
1.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
1424
26.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1486
27.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2021
37.2 IPS |
