amd openvino cpu Gigabyte Technology Co., Ltd. B650M D3HP
Geekbench AI Score
10085
Single Precision Score
10030
Half Precision Score
27047
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | rodrigo_rl |
| Upload Date | March 05 2026 04:59 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| 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% |
6558
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6430
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
16807
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6925
112.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6838
110.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18864
305.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12707
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12618
14.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
50010
58.5 IPS |
|
|
Object Detection (SP)
|
100% |
6320
501.3 IPS |
|
|
Object Detection (HP)
|
100% |
6396
507.3 IPS |
|
|
Object Detection (Q)
|
88% |
17982
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
13385
159.0 IPS |
|
|
Face Detection (HP)
|
100% |
13130
156.0 IPS |
|
|
Face Detection (Q)
|
100% |
42443
504.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15307
117.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15465
119.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
46210
359.6 IPS |
|
|
Style Transfer (SP)
|
100% |
34589
44.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34426
44.3 IPS |
|
|
Style Transfer (Q)
|
98% |
130249
168.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7868
290.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7913
292.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25357
939.1 IPS |
|
|
Text Classification (SP)
|
100% |
5413
7.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5450
7.27 KIPS |
|
|
Text Classification (Q)
|
92% |
8760
11.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
9889
170.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9639
166.0 IPS |
|
|
Machine Translation (Q)
|
100% |
12953
223.1 IPS |
