To Be Filled By O.E.M. X570 Phantom Gaming 4
Geekbench AI Score
1390
Single Precision Score
1381
Half Precision Score
1114
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | gbmk |
| Upload Date | May 08 2025 09:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | To Be Filled By O.E.M. X570 Phantom Gaming 4 |
| Motherboard | ASRock X570 Phantom Gaming 4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.67 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1041
193.7 IPS |
|
|
Image Classification (HP)
|
100% |
1037
192.8 IPS |
|
|
Image Classification (Q)
|
99% |
742
138.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
933
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2296
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2290
2.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
2933
3.44 IPS |
|
|
Object Detection (SP)
|
100% |
977
77.5 IPS |
|
|
Object Detection (HP)
|
100% |
994
78.9 IPS |
|
|
Object Detection (Q)
|
85% |
643
51.7 IPS |
|
|
Face Detection (SP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
1434
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1593
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1583
12.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1451
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2307
2.97 IPS |
|
|
Style Transfer (HP)
|
100% |
2313
2.97 IPS |
|
|
Style Transfer (Q)
|
98% |
4194
5.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
972
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
898
33.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1183
43.8 IPS |
|
|
Text Classification (SP)
|
100% |
815
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (Q)
|
92% |
504
677.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1545
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1451
25.0 IPS |
|
|
Machine Translation (Q)
|
58% |
435
10.2 IPS |
