Gigabyte Technology Co., Ltd. B650M D3HP AX
Geekbench AI Score
2087
Single Precision Score
1883
Half Precision Score
1344
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% |
1789
332.7 IPS |
|
|
Image Classification (HP)
|
100% |
1767
328.6 IPS |
|
|
Image Classification (Q)
|
99% |
1052
196.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1081
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1041
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2341
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1874
2.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
2186
2.56 IPS |
|
|
Object Detection (SP)
|
100% |
851
67.5 IPS |
|
|
Object Detection (HP)
|
100% |
879
69.7 IPS |
|
|
Object Detection (Q)
|
85% |
912
73.4 IPS |
|
|
Face Detection (SP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (Q)
|
97% |
2479
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2646
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2601
20.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1418
13.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2634
3.39 IPS |
|
|
Style Transfer (HP)
|
100% |
2199
2.83 IPS |
|
|
Style Transfer (Q)
|
98% |
3719
4.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2279
84.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1461
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1317
48.8 IPS |
|
|
Text Classification (SP)
|
100% |
1344
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2461
3.28 KIPS |
|
|
Text Classification (Q)
|
92% |
848
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2608
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2679
46.1 IPS |
|
|
Machine Translation (Q)
|
58% |
606
14.2 IPS |
