LENOVO 82RF
Geekbench ML Score
3086
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 17 2024 02:55 AM |
| Views | 2 |
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% |
1699
318.0 IPS |
|
|
Image Classification (F16)
|
100% |
1635
306.0 IPS |
|
|
Image Classification (I8)
|
99% |
3108
581.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1574
26.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1465
24.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2182
36.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5626
6.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
5445
6.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
17234
20.9 IPS |
|
|
Object Detection (F32)
|
100% |
1543
115.2 IPS |
|
|
Object Detection (F16)
|
100% |
1535
114.6 IPS |
|
|
Object Detection (I8)
|
62% |
1439
107.4 IPS |
|
|
Face Detection (F32)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (F16)
|
100% |
3226
38.4 IPS |
|
|
Face Detection (I8)
|
89% |
3588
42.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6253
48.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5847
45.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
11665
90.5 IPS |
|
|
Style Transfer (F32)
|
100% |
13857
18.2 IPS |
|
|
Style Transfer (F16)
|
100% |
13097
17.2 IPS |
|
|
Style Transfer (I8)
|
98% |
17984
23.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2694
96.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2800
100.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3946
140.9 IPS |
|
|
Text Classification (F32)
|
100% |
1355
1.95 KIPS |
|
|
Text Classification (F16)
|
100% |
1299
1.87 KIPS |
|
|
Text Classification (I8)
|
98% |
408
585.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1638
30.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1575
29.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2267
41.7 IPS |
