Gigabyte Technology Co., Ltd. X870E AORUS MASTER
Geekbench ML Score
4555
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 07:01 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1756
328.6 IPS |
|
|
Image Classification (F16)
|
100% |
1736
324.9 IPS |
|
|
Image Classification (I8)
|
99% |
4282
801.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2422
40.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2366
39.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3493
58.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
14481
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
8327
10.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
35543
43.0 IPS |
|
|
Object Detection (F32)
|
100% |
1598
119.3 IPS |
|
|
Object Detection (F16)
|
100% |
1964
146.6 IPS |
|
|
Object Detection (I8)
|
62% |
1888
140.9 IPS |
|
|
Face Detection (F32)
|
100% |
3716
44.2 IPS |
|
|
Face Detection (F16)
|
100% |
3837
45.6 IPS |
|
|
Face Detection (I8)
|
89% |
5340
63.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
10032
77.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10390
80.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
22258
172.6 IPS |
|
|
Style Transfer (F32)
|
100% |
26030
34.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27342
36.0 IPS |
|
|
Style Transfer (I8)
|
98% |
36818
48.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3634
129.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3618
129.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4007
143.1 IPS |
|
|
Text Classification (F32)
|
100% |
1414
2.03 KIPS |
|
|
Text Classification (F16)
|
100% |
1146
1.65 KIPS |
|
|
Text Classification (I8)
|
98% |
913
1.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
2273
41.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2743
50.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3809
70.1 IPS |
