To Be Filled By O.E.M. X370 Taichi
Geekbench AI Score
1752
Single Precision Score
1762
Half Precision Score
1515
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 08 2025 03:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.2 |
| Model | To Be Filled By O.E.M. X370 Taichi |
| Motherboard | ASRock X370 Taichi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.18 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1187
220.7 IPS |
|
|
Image Classification (HP)
|
100% |
1179
219.3 IPS |
|
|
Image Classification (Q)
|
99% |
1003
187.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2044
33.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1075
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2408
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2399
2.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
3468
4.06 IPS |
|
|
Object Detection (SP)
|
100% |
1300
103.1 IPS |
|
|
Object Detection (HP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (Q)
|
85% |
1131
91.1 IPS |
|
|
Face Detection (SP)
|
100% |
2166
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2176
25.9 IPS |
|
|
Face Detection (Q)
|
97% |
2402
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2006
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2011
15.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1897
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2516
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
2517
3.24 IPS |
|
|
Style Transfer (Q)
|
98% |
5460
7.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1358
50.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1358
50.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1542
57.1 IPS |
|
|
Text Classification (SP)
|
100% |
1037
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1137
1.52 KIPS |
|
|
Text Classification (Q)
|
92% |
632
849.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2394
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2265
39.0 IPS |
|
|
Machine Translation (Q)
|
58% |
622
14.6 IPS |
