To Be Filled By O.E.M. X370 Taichi
Geekbench AI Score
1861
Single Precision Score
1806
Half Precision Score
1695
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | CME |
| Upload Date | March 17 2026 05:49 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux forky/sid |
| Model | To Be Filled By O.E.M. X370 Taichi |
| Motherboard | ASRock X370 Taichi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1282
238.4 IPS |
|
|
Image Classification (HP)
|
100% |
1264
235.1 IPS |
|
|
Image Classification (Q)
|
99% |
1112
207.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2073
33.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1197
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2406
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2408
2.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
4348
5.09 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.1 IPS |
|
|
Object Detection (HP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (Q)
|
85% |
1351
108.7 IPS |
|
|
Face Detection (SP)
|
100% |
2188
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
2131
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
2472
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2007
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1968
15.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2081
19.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2532
3.26 IPS |
|
|
Style Transfer (HP)
|
100% |
2567
3.30 IPS |
|
|
Style Transfer (Q)
|
98% |
5918
7.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1543
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1792
66.4 IPS |
|
|
Text Classification (SP)
|
100% |
1316
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1188
1.59 KIPS |
|
|
Text Classification (Q)
|
92% |
709
952.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2443
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2157
37.2 IPS |
|
|
Machine Translation (Q)
|
58% |
648
15.2 IPS |
