LENOVO 82Y8
Geekbench ML Score
5859
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 02:55 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82Y8 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Revision - Ultra Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS with Radeon 780M Graphics |
| 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 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4529
847.4 IPS |
|
|
Image Classification (F16)
|
100% |
4744
887.8 IPS |
|
|
Image Classification (I8)
|
100% |
4278
800.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
7456
124.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
6901
115.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
6400
106.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
42951
52.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
56299
68.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
53550
64.8 IPS |
|
|
Object Detection (F32)
|
100% |
3535
263.9 IPS |
|
|
Object Detection (F16)
|
100% |
4053
302.6 IPS |
|
|
Object Detection (I8)
|
61% |
3975
296.8 IPS |
|
|
Face Detection (F32)
|
100% |
5577
66.3 IPS |
|
|
Face Detection (F16)
|
100% |
5197
61.8 IPS |
|
|
Face Detection (I8)
|
89% |
4281
50.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
10376
80.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10584
82.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
9556
74.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40240
52.9 IPS |
|
|
Style Transfer (F16)
|
100% |
37813
49.7 IPS |
|
|
Style Transfer (I8)
|
98% |
33346
43.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6518
232.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6812
243.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5162
184.3 IPS |
|
|
Text Classification (F32)
|
100% |
508
730.7 IPS |
|
|
Text Classification (F16)
|
100% |
507
729.3 IPS |
|
|
Text Classification (I8)
|
98% |
362
520.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1493
27.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1476
27.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1565
28.8 IPS |
