OEM TU229V2
Geekbench AI Score
975
Single Precision Score
972
Half Precision Score
1188
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Godfrey_Lee |
| Upload Date | May 20 2025 09:48 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 9754 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04 LTS |
| Model | OEM TU229V2 |
| Motherboard | OEM T2SEEP |
| CPU Information | |
|---|---|
| Name | AMD EPYC 9754 |
| Topology | 1 Processor, 128 Cores, 256 Threads |
| Identifier | AuthenticAMD Family 25 Model 160 Stepping 2 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 566.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
778
144.7 IPS |
|
|
Image Classification (HP)
|
100% |
778
144.7 IPS |
|
|
Image Classification (Q)
|
99% |
1255
234.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1062
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1626
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1588
1.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
2950
3.46 IPS |
|
|
Object Detection (SP)
|
100% |
931
73.9 IPS |
|
|
Object Detection (HP)
|
100% |
917
72.7 IPS |
|
|
Object Detection (Q)
|
85% |
1544
124.3 IPS |
|
|
Face Detection (SP)
|
100% |
946
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
941
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
1859
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
837
6.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
801
6.17 IPS |
|
|
Depth Estimation (Q)
|
63% |
1266
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1953
2.51 IPS |
|
|
Style Transfer (HP)
|
100% |
1954
2.51 IPS |
|
|
Style Transfer (Q)
|
98% |
3453
4.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
414
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
417
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
958
35.5 IPS |
|
|
Text Classification (SP)
|
100% |
397
529.6 IPS |
|
|
Text Classification (HP)
|
100% |
397
530.4 IPS |
|
|
Text Classification (Q)
|
92% |
281
377.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1545
26.6 IPS |
|
|
Machine Translation (Q)
|
58% |
423
9.94 IPS |
