To Be Filled By O.E.M. X370 Taichi
Geekbench AI Score
3167
Single Precision Score
904
Half Precision Score
5990
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | CME |
| Upload Date | March 17 2026 05:52 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1208
224.6 IPS |
|
|
Image Classification (HP)
|
100% |
200
37.2 IPS |
|
|
Image Classification (Q)
|
94% |
5315
993.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1742
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
331
5.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
2632
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6733
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5885
6.87 IPS |
|
|
Pose Estimation (Q)
|
86% |
20373
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
1926
152.8 IPS |
|
|
Object Detection (HP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (Q)
|
58% |
4366
477.0 IPS |
|
|
Face Detection (SP)
|
100% |
2599
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
400
4.76 IPS |
|
|
Face Detection (Q)
|
96% |
11964
142.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6614
51.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1225
9.44 IPS |
|
|
Depth Estimation (Q)
|
78% |
13357
106.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20286
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15784
20.3 IPS |
|
|
Style Transfer (Q)
|
87% |
17071
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2649
97.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1572
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3574
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
1559
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
517
690.0 IPS |
|
|
Text Classification (Q)
|
97% |
1397
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2588
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (Q)
|
68% |
3510
67.8 IPS |
