LENOVO 83GS
Geekbench ML Score
7012
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 02:42 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83GS |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450HX |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 6GB Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3323
621.8 IPS |
|
|
Image Classification (F16)
|
100% |
3429
641.7 IPS |
|
|
Image Classification (I8)
|
100% |
2520
471.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
4933
82.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
5026
83.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3938
65.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
36717
44.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
41183
49.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
33865
41.0 IPS |
|
|
Object Detection (F32)
|
100% |
2704
201.9 IPS |
|
|
Object Detection (F16)
|
100% |
3320
247.8 IPS |
|
|
Object Detection (I8)
|
61% |
2686
200.5 IPS |
|
|
Face Detection (F32)
|
100% |
7773
92.4 IPS |
|
|
Face Detection (F16)
|
100% |
8066
95.9 IPS |
|
|
Face Detection (I8)
|
89% |
6167
73.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
18572
144.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
18983
147.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
13811
107.1 IPS |
|
|
Style Transfer (F32)
|
100% |
72403
95.2 IPS |
|
|
Style Transfer (F16)
|
100% |
76483
100.6 IPS |
|
|
Style Transfer (I8)
|
98% |
57217
75.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12455
444.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11675
416.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7215
257.7 IPS |
|
|
Text Classification (F32)
|
100% |
1626
2.34 KIPS |
|
|
Text Classification (F16)
|
100% |
1605
2.31 KIPS |
|
|
Text Classification (I8)
|
98% |
812
1.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
2228
41.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2226
41.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1043
19.2 IPS |
