LENOVO 82RF
Geekbench ML Score
11714
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 17 2024 03:00 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% |
5985
1.12 KIPS |
|
|
Image Classification (F16)
|
100% |
5962
1.12 KIPS |
|
|
Image Classification (I8)
|
100% |
4342
812.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
8600
143.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
8141
136.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
6312
105.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
80204
97.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
80718
97.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
65090
78.8 IPS |
|
|
Object Detection (F32)
|
100% |
4439
331.4 IPS |
|
|
Object Detection (F16)
|
100% |
4349
324.6 IPS |
|
|
Object Detection (I8)
|
63% |
3769
281.4 IPS |
|
|
Face Detection (F32)
|
100% |
16614
197.5 IPS |
|
|
Face Detection (F16)
|
100% |
16395
194.9 IPS |
|
|
Face Detection (I8)
|
89% |
12293
146.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
36827
285.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
37664
292.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
26416
204.9 IPS |
|
|
Style Transfer (F32)
|
100% |
137546
180.9 IPS |
|
|
Style Transfer (F16)
|
100% |
124216
163.4 IPS |
|
|
Style Transfer (I8)
|
98% |
101037
132.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22968
820.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23389
835.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11934
426.2 IPS |
|
|
Text Classification (F32)
|
100% |
2151
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
1910
2.75 KIPS |
|
|
Text Classification (I8)
|
98% |
888
1.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
2879
53.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2854
52.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1350
24.8 IPS |
