Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX
Geekbench ML Score
4860
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 05:19 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Power Plan | Bilanciato |
| 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 | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1835
343.5 IPS |
|
|
Image Classification (F16)
|
100% |
1840
344.4 IPS |
|
|
Image Classification (I8)
|
99% |
4249
795.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2540
42.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2496
41.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3151
52.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
15122
18.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
15044
18.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
42872
51.9 IPS |
|
|
Object Detection (F32)
|
100% |
2104
157.1 IPS |
|
|
Object Detection (F16)
|
100% |
2134
159.3 IPS |
|
|
Object Detection (I8)
|
62% |
2041
152.4 IPS |
|
|
Face Detection (F32)
|
100% |
4333
51.5 IPS |
|
|
Face Detection (F16)
|
100% |
4312
51.3 IPS |
|
|
Face Detection (I8)
|
89% |
6226
74.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
10900
84.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10921
84.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
22602
175.3 IPS |
|
|
Style Transfer (F32)
|
100% |
27678
36.4 IPS |
|
|
Style Transfer (F16)
|
100% |
26150
34.4 IPS |
|
|
Style Transfer (I8)
|
98% |
38435
50.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4019
143.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3237
115.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4689
167.5 IPS |
|
|
Text Classification (F32)
|
100% |
1460
2.10 KIPS |
|
|
Text Classification (F16)
|
100% |
1486
2.14 KIPS |
|
|
Text Classification (I8)
|
98% |
371
533.4 IPS |
|
|
Machine Translation (F32)
|
100% |
3167
58.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3189
58.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3611
66.5 IPS |
