To Be Filled By O.E.M. X370 Taichi
Geekbench AI Score
6269
Single Precision Score
6300
Half Precision Score
10725
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | CME |
| Upload Date | March 17 2026 05:54 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| 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% |
3774
701.9 IPS |
|
|
Image Classification (HP)
|
100% |
3751
697.6 IPS |
|
|
Image Classification (Q)
|
100% |
6623
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5296
85.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5080
82.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10029
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6735
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
6935
8.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
21268
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
4018
318.7 IPS |
|
|
Object Detection (HP)
|
100% |
4016
318.6 IPS |
|
|
Object Detection (Q)
|
87% |
7346
589.2 IPS |
|
|
Face Detection (SP)
|
100% |
9849
117.0 IPS |
|
|
Face Detection (HP)
|
100% |
9937
118.1 IPS |
|
|
Face Detection (Q)
|
97% |
21793
259.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9397
72.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9320
71.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
20632
162.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25796
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27494
35.3 IPS |
|
|
Style Transfer (Q)
|
98% |
60815
78.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5497
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5625
207.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11271
417.5 IPS |
|
|
Text Classification (SP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2762
3.69 KIPS |
|
|
Text Classification (Q)
|
91% |
1332
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4740
81.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4693
80.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4728
81.4 IPS |
