Gigabyte Technology Co., Ltd. B650M D3HP
Geekbench AI Score
10650
Single Precision Score
10646
Half Precision Score
28320
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rodrigo_rl |
| Upload Date | April 04 2025 04:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M D3HP |
| Motherboard | Gigabyte Technology Co., Ltd. B650M D3HP |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| 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% |
6841
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
6841
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
17972
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7282
118.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7235
117.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19323
313.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13145
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13162
15.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
52711
61.7 IPS |
|
|
Object Detection (SP)
|
100% |
6484
514.3 IPS |
|
|
Object Detection (HP)
|
100% |
6604
523.8 IPS |
|
|
Object Detection (Q)
|
88% |
18905
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
14427
171.4 IPS |
|
|
Face Detection (HP)
|
100% |
14585
173.3 IPS |
|
|
Face Detection (Q)
|
100% |
44805
532.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16049
123.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16014
123.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
49504
385.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36362
46.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36566
47.0 IPS |
|
|
Style Transfer (Q)
|
98% |
133225
171.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8290
306.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8329
307.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25970
961.8 IPS |
|
|
Text Classification (SP)
|
100% |
5872
7.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5868
7.83 KIPS |
|
|
Text Classification (Q)
|
92% |
8985
12.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
10788
185.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10414
179.4 IPS |
|
|
Machine Translation (Q)
|
100% |
13909
239.6 IPS |
