Basement 2x3090 AI Server (CPU) ASUS System Product Name
Geekbench AI Score
1496
Single Precision Score
1500
Half Precision Score
1223
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | necrom23 |
| Upload Date | May 31 2025 12:35 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 | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS X570-ACE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 5.04 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1049
195.0 IPS |
|
|
Image Classification (HP)
|
100% |
1048
194.9 IPS |
|
|
Image Classification (Q)
|
99% |
750
139.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
926
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2290
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2298
2.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
3055
3.58 IPS |
|
|
Object Detection (SP)
|
100% |
1095
86.8 IPS |
|
|
Object Detection (HP)
|
100% |
1109
87.9 IPS |
|
|
Object Detection (Q)
|
85% |
850
68.4 IPS |
|
|
Face Detection (SP)
|
100% |
1837
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
1840
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
1573
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1661
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1662
12.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1592
14.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2531
3.25 IPS |
|
|
Style Transfer (HP)
|
100% |
2526
3.25 IPS |
|
|
Style Transfer (Q)
|
98% |
4911
6.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1017
37.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1288
47.7 IPS |
|
|
Text Classification (SP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
952
1.27 KIPS |
|
|
Text Classification (Q)
|
92% |
537
720.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1727
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1776
30.6 IPS |
|
|
Machine Translation (Q)
|
58% |
492
11.6 IPS |
