Gigabyte Technology Co., Ltd. X570 AORUS MASTER
Geekbench AI Score
1944
Single Precision Score
1963
Half Precision Score
1595
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | PhillyBass |
| Upload Date | October 24 2025 11:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (KDE Plasma Desktop Edition) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
1268
235.9 IPS |
|
|
Image Classification (Q)
|
99% |
1095
204.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1166
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2642
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2646
3.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
4132
4.84 IPS |
|
|
Object Detection (SP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (HP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (Q)
|
85% |
1235
99.4 IPS |
|
|
Face Detection (SP)
|
100% |
2293
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2390
28.4 IPS |
|
|
Face Detection (Q)
|
97% |
2523
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2225
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2249
17.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2051
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2809
3.61 IPS |
|
|
Style Transfer (HP)
|
100% |
2813
3.62 IPS |
|
|
Style Transfer (Q)
|
98% |
6101
7.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1812
67.1 IPS |
|
|
Text Classification (SP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1242
1.66 KIPS |
|
|
Text Classification (Q)
|
92% |
463
622.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2762
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2777
47.8 IPS |
|
|
Machine Translation (Q)
|
58% |
619
14.5 IPS |
