AMD BIRMANPLUS
Geekbench ML Score
6087
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 12 2024 11:36 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AMD BIRMANPLUS |
| Motherboard | AMD BirmanPlus-STX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 5.33 MB x 3 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2515
470.7 IPS |
|
|
Image Classification (F16)
|
100% |
2443
457.2 IPS |
|
|
Image Classification (I8)
|
100% |
1739
325.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
3593
60.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
4006
66.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3731
62.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
30520
37.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
29406
35.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
24867
30.1 IPS |
|
|
Object Detection (F32)
|
100% |
1675
125.0 IPS |
|
|
Object Detection (F16)
|
100% |
1696
126.6 IPS |
|
|
Object Detection (I8)
|
62% |
1554
116.1 IPS |
|
|
Face Detection (F32)
|
100% |
6049
71.9 IPS |
|
|
Face Detection (F16)
|
100% |
6091
72.4 IPS |
|
|
Face Detection (I8)
|
89% |
4774
56.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16335
126.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
16628
129.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
13707
106.3 IPS |
|
|
Style Transfer (F32)
|
100% |
49212
64.7 IPS |
|
|
Style Transfer (F16)
|
100% |
48716
64.1 IPS |
|
|
Style Transfer (I8)
|
98% |
37839
49.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10505
375.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10797
385.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8160
291.4 IPS |
|
|
Text Classification (F32)
|
100% |
2431
3.49 KIPS |
|
|
Text Classification (F16)
|
100% |
2369
3.41 KIPS |
|
|
Text Classification (I8)
|
98% |
1772
2.55 KIPS |
|
|
Machine Translation (F32)
|
100% |
2921
53.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2438
44.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1514
27.9 IPS |
