To Be Filled By O.E.M. GENOAD12M3-2Q/H
Geekbench AI Score
1136
Single Precision Score
1126
Half Precision Score
1417
Quantized Score
Geekbench AI 1.4.0 Pro for Linux AVX2
Result Information
| User | Technologov |
| Upload Date | July 07 2025 06:15 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 9454P |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | To Be Filled By O.E.M. GENOAD12M3-2Q/H |
| Motherboard | ASRockRack GENOAD12M3-2Q/H |
| CPU Information | |
|---|---|
| Name | AMD EPYC 9454P |
| Topology | 1 Processor, 48 Cores, 96 Threads |
| Identifier | AuthenticAMD Family 25 Model 17 Stepping 1 |
| Base Frequency | 3.81 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
842
156.5 IPS |
|
|
Image Classification (HP)
|
100% |
842
156.6 IPS |
|
|
Image Classification (Q)
|
99% |
1393
259.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2052
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1320
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1891
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1849
2.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
3844
4.50 IPS |
|
|
Object Detection (SP)
|
100% |
957
75.9 IPS |
|
|
Object Detection (HP)
|
100% |
948
75.2 IPS |
|
|
Object Detection (Q)
|
85% |
1675
134.8 IPS |
|
|
Face Detection (SP)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1078
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
2109
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1032
7.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
1036
7.98 IPS |
|
|
Depth Estimation (Q)
|
63% |
1628
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2130
2.74 IPS |
|
|
Style Transfer (HP)
|
100% |
2126
2.73 IPS |
|
|
Style Transfer (Q)
|
98% |
3976
5.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
461
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
460
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1084
40.2 IPS |
|
|
Text Classification (SP)
|
100% |
540
721.4 IPS |
|
|
Text Classification (HP)
|
100% |
505
674.0 IPS |
|
|
Text Classification (Q)
|
92% |
333
447.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1934
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1936
33.3 IPS |
|
|
Machine Translation (Q)
|
58% |
563
13.2 IPS |
