LENOVO 82XT
Geekbench ML Score
11701
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 15 2024 02:04 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 82XT |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5855
1.10 KIPS |
|
|
Image Classification (F16)
|
100% |
5872
1.10 KIPS |
|
|
Image Classification (I8)
|
100% |
5361
1.00 KIPS |
|
|
Image Segmentation (F32)
|
100% |
7813
130.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
7784
130.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
7214
120.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
66756
80.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
67197
81.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
60221
72.9 IPS |
|
|
Object Detection (F32)
|
100% |
4109
306.8 IPS |
|
|
Object Detection (F16)
|
100% |
4065
303.5 IPS |
|
|
Object Detection (I8)
|
61% |
3924
293.0 IPS |
|
|
Face Detection (F32)
|
100% |
16497
196.2 IPS |
|
|
Face Detection (F16)
|
100% |
16516
196.4 IPS |
|
|
Face Detection (I8)
|
89% |
14465
172.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
26852
208.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
32732
253.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
23598
183.0 IPS |
|
|
Style Transfer (F32)
|
100% |
131211
172.6 IPS |
|
|
Style Transfer (F16)
|
100% |
106613
140.2 IPS |
|
|
Style Transfer (I8)
|
98% |
97282
128.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21069
752.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21565
770.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16488
588.8 IPS |
|
|
Text Classification (F32)
|
100% |
1852
2.66 KIPS |
|
|
Text Classification (F16)
|
100% |
1809
2.60 KIPS |
|
|
Text Classification (I8)
|
98% |
1228
1.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
3416
62.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3414
62.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1949
35.9 IPS |
