LENOVO 83D3
Geekbench ML Score
4992
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Romanychev |
| Upload Date | August 15 2024 07:32 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 83D3 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845H w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2852
533.6 IPS |
|
|
Image Classification (F16)
|
100% |
2827
529.1 IPS |
|
|
Image Classification (I8)
|
100% |
2463
460.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2713
45.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2771
46.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2397
40.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
34327
41.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
36442
44.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
30087
36.4 IPS |
|
|
Object Detection (F32)
|
100% |
1472
109.9 IPS |
|
|
Object Detection (F16)
|
100% |
1574
117.5 IPS |
|
|
Object Detection (I8)
|
62% |
1432
106.9 IPS |
|
|
Face Detection (F32)
|
100% |
5704
67.8 IPS |
|
|
Face Detection (F16)
|
100% |
5788
68.8 IPS |
|
|
Face Detection (I8)
|
89% |
4508
53.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
14559
112.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
15483
120.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
12793
99.2 IPS |
|
|
Style Transfer (F32)
|
100% |
29013
38.2 IPS |
|
|
Style Transfer (F16)
|
100% |
29365
38.6 IPS |
|
|
Style Transfer (I8)
|
98% |
25668
33.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5792
206.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5710
203.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4397
157.0 IPS |
|
|
Text Classification (F32)
|
100% |
1314
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
1287
1.85 KIPS |
|
|
Text Classification (I8)
|
98% |
1126
1.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
2198
40.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2215
40.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1577
29.0 IPS |
