AMD Lilac-PHX
Geekbench ML Score
5019
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 10 2024 11:27 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AMD Lilac-PHX |
| Motherboard | AMD Lilac-PHX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 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% |
2515
470.7 IPS |
|
|
Image Classification (F16)
|
100% |
2295
429.5 IPS |
|
|
Image Classification (I8)
|
100% |
2192
410.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2692
45.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2777
46.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2284
38.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
36561
44.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
36596
44.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
26609
32.2 IPS |
|
|
Object Detection (F32)
|
100% |
1770
132.1 IPS |
|
|
Object Detection (F16)
|
100% |
1913
142.8 IPS |
|
|
Object Detection (I8)
|
62% |
1850
138.1 IPS |
|
|
Face Detection (F32)
|
100% |
4819
57.3 IPS |
|
|
Face Detection (F16)
|
100% |
4855
57.7 IPS |
|
|
Face Detection (I8)
|
89% |
3746
44.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15073
116.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
15729
122.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
11234
87.1 IPS |
|
|
Style Transfer (F32)
|
100% |
30916
40.7 IPS |
|
|
Style Transfer (F16)
|
100% |
30997
40.8 IPS |
|
|
Style Transfer (I8)
|
98% |
25890
34.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5635
201.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5523
197.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4134
147.6 IPS |
|
|
Text Classification (F32)
|
100% |
1572
2.26 KIPS |
|
|
Text Classification (F16)
|
100% |
1529
2.20 KIPS |
|
|
Text Classification (I8)
|
98% |
1308
1.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
2437
44.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2478
45.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1532
28.2 IPS |
