LENOVO 82RF
Geekbench ML Score
11718
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 17 2024 02:58 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 | DirectML |
| Device | NVIDIA GeForce RTX 3070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5910
1.11 KIPS |
|
|
Image Classification (F16)
|
100% |
5907
1.11 KIPS |
|
|
Image Classification (I8)
|
100% |
4316
807.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
8455
141.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
8127
135.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
6261
104.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
79106
95.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
80371
97.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
65486
79.3 IPS |
|
|
Object Detection (F32)
|
100% |
4288
320.1 IPS |
|
|
Object Detection (F16)
|
100% |
4470
333.7 IPS |
|
|
Object Detection (I8)
|
63% |
3727
278.2 IPS |
|
|
Face Detection (F32)
|
100% |
16792
199.7 IPS |
|
|
Face Detection (F16)
|
100% |
16700
198.6 IPS |
|
|
Face Detection (I8)
|
89% |
12556
149.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
35728
277.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
33055
256.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
26023
201.8 IPS |
|
|
Style Transfer (F32)
|
100% |
133509
175.6 IPS |
|
|
Style Transfer (F16)
|
100% |
123549
162.5 IPS |
|
|
Style Transfer (I8)
|
98% |
99151
130.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23805
850.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24033
858.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13910
496.8 IPS |
|
|
Text Classification (F32)
|
100% |
2078
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
2098
3.02 KIPS |
|
|
Text Classification (I8)
|
98% |
942
1.35 KIPS |
|
|
Machine Translation (F32)
|
100% |
2752
50.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2785
51.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1361
25.0 IPS |
