Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX
Geekbench ML Score
4766
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 05:18 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% |
1842
344.7 IPS |
|
|
Image Classification (F16)
|
100% |
1839
344.1 IPS |
|
|
Image Classification (I8)
|
99% |
4206
787.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2550
42.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2548
42.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3055
51.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
14905
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
15049
18.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
43340
52.5 IPS |
|
|
Object Detection (F32)
|
100% |
2090
156.0 IPS |
|
|
Object Detection (F16)
|
100% |
2117
158.1 IPS |
|
|
Object Detection (I8)
|
62% |
2012
150.2 IPS |
|
|
Face Detection (F32)
|
100% |
4284
50.9 IPS |
|
|
Face Detection (F16)
|
100% |
4215
50.1 IPS |
|
|
Face Detection (I8)
|
89% |
6099
72.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
10679
82.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10543
81.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
22215
172.3 IPS |
|
|
Style Transfer (F32)
|
100% |
23496
30.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27439
36.1 IPS |
|
|
Style Transfer (I8)
|
98% |
37244
49.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2863
102.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3770
134.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4090
146.1 IPS |
|
|
Text Classification (F32)
|
100% |
1499
2.15 KIPS |
|
|
Text Classification (F16)
|
100% |
1514
2.18 KIPS |
|
|
Text Classification (I8)
|
98% |
372
534.9 IPS |
|
|
Machine Translation (F32)
|
100% |
3108
57.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3195
58.8 IPS |
|
|
Machine Translation (I8)
|
67% |
3692
67.9 IPS |
