AMD ONNX CPU Gigabyte Technology Co., Ltd. B650M D3HP
Geekbench AI Score
4763
Single Precision Score
2130
Half Precision Score
10412
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | rodrigo_rl |
| Upload Date | March 05 2026 04:54 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M D3HP |
| Motherboard | Gigabyte Technology Co., Ltd. B650M D3HP |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4904
911.9 IPS |
|
|
Image Classification (HP)
|
100% |
1051
195.5 IPS |
|
|
Image Classification (Q)
|
99% |
12147
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10615
172.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7053
8.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
6001
7.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
27880
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
3495
277.2 IPS |
|
|
Object Detection (HP)
|
100% |
964
76.4 IPS |
|
|
Object Detection (Q)
|
86% |
9582
770.1 IPS |
|
|
Face Detection (SP)
|
100% |
7926
94.2 IPS |
|
|
Face Detection (HP)
|
100% |
2079
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
10645
126.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8679
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2669
20.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
19932
159.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16555
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13279
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
28962
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2967
109.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2515
92.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6095
225.7 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1281
1.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2155
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3773
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5386
108.2 IPS |
