LENOVO 82RF
Geekbench ML Score
3080
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 17 2024 02:57 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82RF |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 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% |
1663
311.1 IPS |
|
|
Image Classification (F16)
|
100% |
1715
320.9 IPS |
|
|
Image Classification (I8)
|
99% |
3220
602.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1513
25.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1502
25.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2182
36.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4505
5.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
5558
6.73 IPS |
|
|
Pose Estimation (I8)
|
100% |
17140
20.8 IPS |
|
|
Object Detection (F32)
|
100% |
1647
123.0 IPS |
|
|
Object Detection (F16)
|
100% |
1574
117.5 IPS |
|
|
Object Detection (I8)
|
62% |
1401
104.6 IPS |
|
|
Face Detection (F32)
|
100% |
3197
38.0 IPS |
|
|
Face Detection (F16)
|
100% |
3115
37.0 IPS |
|
|
Face Detection (I8)
|
89% |
3625
43.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6368
49.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5911
45.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
11935
92.6 IPS |
|
|
Style Transfer (F32)
|
100% |
13623
17.9 IPS |
|
|
Style Transfer (F16)
|
100% |
13500
17.8 IPS |
|
|
Style Transfer (I8)
|
98% |
18549
24.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2585
92.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2772
99.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3917
139.9 IPS |
|
|
Text Classification (F32)
|
100% |
1276
1.83 KIPS |
|
|
Text Classification (F16)
|
100% |
1314
1.89 KIPS |
|
|
Text Classification (I8)
|
98% |
389
559.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1652
30.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1684
31.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2274
41.9 IPS |
