System manufacturer System Product Name
Geekbench AI Score
1157
Single Precision Score
1123
Half Precision Score
1032
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | December 17 2025 05:38 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.92 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
840
156.3 IPS |
|
|
Image Classification (HP)
|
100% |
841
156.5 IPS |
|
|
Image Classification (Q)
|
99% |
679
126.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
884
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1850
2.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1848
2.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
2787
3.27 IPS |
|
|
Object Detection (SP)
|
100% |
813
64.5 IPS |
|
|
Object Detection (HP)
|
100% |
817
64.8 IPS |
|
|
Object Detection (Q)
|
85% |
699
56.3 IPS |
|
|
Face Detection (SP)
|
100% |
1412
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1349
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
1343
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1278
9.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
918
7.07 IPS |
|
|
Depth Estimation (Q)
|
63% |
719
6.74 IPS |
|
|
Style Transfer (SP)
|
100% |
1693
2.18 IPS |
|
|
Style Transfer (HP)
|
100% |
2021
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
4471
5.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
846
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
841
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1201
44.5 IPS |
|
|
Text Classification (SP)
|
100% |
737
983.1 IPS |
|
|
Text Classification (HP)
|
100% |
737
984.1 IPS |
|
|
Text Classification (Q)
|
92% |
490
658.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (Q)
|
58% |
462
10.8 IPS |
