Gigabyte Technology Co., Ltd. B560M AORUS PRO AX
Geekbench ML Score
8314
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 12:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B560M AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B560M AORUS PRO AX |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4217
789.2 IPS |
|
|
Image Classification (F16)
|
100% |
4008
750.0 IPS |
|
|
Image Classification (I8)
|
100% |
2863
535.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
6415
107.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
6418
107.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
5302
88.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
44996
54.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
45692
55.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
39047
47.3 IPS |
|
|
Object Detection (F32)
|
100% |
3308
246.9 IPS |
|
|
Object Detection (F16)
|
100% |
3394
253.3 IPS |
|
|
Object Detection (I8)
|
61% |
2807
209.6 IPS |
|
|
Face Detection (F32)
|
100% |
10873
129.3 IPS |
|
|
Face Detection (F16)
|
100% |
9368
111.4 IPS |
|
|
Face Detection (I8)
|
89% |
6875
81.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
23104
179.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
22125
171.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
16977
131.7 IPS |
|
|
Style Transfer (F32)
|
100% |
85361
112.3 IPS |
|
|
Style Transfer (F16)
|
100% |
82806
108.9 IPS |
|
|
Style Transfer (I8)
|
98% |
67426
88.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17375
620.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16587
592.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
9707
346.7 IPS |
|
|
Text Classification (F32)
|
100% |
1962
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
1956
2.81 KIPS |
|
|
Text Classification (I8)
|
98% |
925
1.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
2309
42.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2277
41.9 IPS |
|
|
Machine Translation (I8)
|
70% |
975
17.9 IPS |
