LENOVO 82XT
Geekbench ML Score
5143
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 15 2024 02:08 AM |
| Views | 3 |
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 | AMD Radeon(TM) 780M |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2535
474.5 IPS |
|
|
Image Classification (F16)
|
100% |
2553
477.7 IPS |
|
|
Image Classification (I8)
|
100% |
2147
401.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2626
43.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2675
44.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2273
38.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
34486
41.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
37224
45.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25459
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
1912
142.7 IPS |
|
|
Object Detection (F16)
|
100% |
1922
143.5 IPS |
|
|
Object Detection (I8)
|
62% |
1787
133.4 IPS |
|
|
Face Detection (F32)
|
100% |
4759
56.6 IPS |
|
|
Face Detection (F16)
|
100% |
4751
56.5 IPS |
|
|
Face Detection (I8)
|
89% |
3622
43.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16139
125.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
15428
119.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
12126
94.0 IPS |
|
|
Style Transfer (F32)
|
100% |
32297
42.5 IPS |
|
|
Style Transfer (F16)
|
100% |
31407
41.3 IPS |
|
|
Style Transfer (I8)
|
98% |
27039
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5975
213.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6026
215.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4306
153.8 IPS |
|
|
Text Classification (F32)
|
100% |
1721
2.47 KIPS |
|
|
Text Classification (F16)
|
100% |
1760
2.53 KIPS |
|
|
Text Classification (I8)
|
98% |
1388
1.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
2556
47.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2550
46.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1588
29.2 IPS |
