Gigabyte Technology Co., Ltd. B650M D3HP AX
Geekbench AI Score
1983
Single Precision Score
1724
Half Precision Score
1226
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | May 08 2025 07:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Nobara Linux 42 (KDE Plasma Desktop Edition) |
| Model | Gigabyte Technology Co., Ltd. B650M D3HP AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M D3HP AX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.46 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1580
293.8 IPS |
|
|
Image Classification (HP)
|
100% |
1301
242.0 IPS |
|
|
Image Classification (Q)
|
99% |
1029
192.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1200
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1212
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
662
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1804
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1860
2.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
2350
2.75 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
100% |
1391
110.3 IPS |
|
|
Object Detection (Q)
|
85% |
923
74.3 IPS |
|
|
Face Detection (SP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
1783
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
1505
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2193
16.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3016
23.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1160
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2126
2.73 IPS |
|
|
Style Transfer (HP)
|
100% |
2702
3.47 IPS |
|
|
Style Transfer (Q)
|
98% |
4169
5.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2184
80.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2140
79.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1046
38.8 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (Q)
|
92% |
935
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2392
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2200
37.9 IPS |
|
|
Machine Translation (Q)
|
58% |
735
17.2 IPS |
