Gigabyte Technology Co., Ltd. B550 AORUS PRO
Geekbench ML Score
24908
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 24 2024 10:47 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS PRO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10892
2.04 KIPS |
|
|
Image Classification (F16)
|
100% |
11714
2.19 KIPS |
|
|
Image Classification (I8)
|
100% |
9296
1.74 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18172
303.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
18092
302.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
16465
275.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
232775
281.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
233294
282.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
204733
247.9 IPS |
|
|
Object Detection (F32)
|
100% |
6834
510.2 IPS |
|
|
Object Detection (F16)
|
100% |
6748
503.8 IPS |
|
|
Object Detection (I8)
|
56% |
6336
473.0 IPS |
|
|
Face Detection (F32)
|
100% |
38110
453.1 IPS |
|
|
Face Detection (F16)
|
100% |
37768
449.1 IPS |
|
|
Face Detection (I8)
|
89% |
33111
393.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
72035
558.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
66372
514.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
53681
416.3 IPS |
|
|
Style Transfer (F32)
|
100% |
341440
449.1 IPS |
|
|
Style Transfer (F16)
|
100% |
341804
449.6 IPS |
|
|
Style Transfer (I8)
|
98% |
298640
392.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
48324
1.73 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
47690
1.70 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
36968
1.32 KIPS |
|
|
Text Classification (F32)
|
100% |
2885
4.15 KIPS |
|
|
Text Classification (F16)
|
100% |
2881
4.14 KIPS |
|
|
Text Classification (I8)
|
98% |
1829
2.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
4985
91.7 IPS |
|
|
Machine Translation (F16)
|
100% |
5002
92.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2706
49.8 IPS |
