To Be Filled By O.E.M. AB350 Pro4
Geekbench AI Score
3018
Single Precision Score
3047
Half Precision Score
1332
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Spiike |
| Upload Date | April 21 2025 02:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D |
| System Information | |
|---|---|
| Operating System | Garuda Linux |
| Model | To Be Filled By O.E.M. AB350 Pro4 |
| Motherboard | ASRock AB350 Pro4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.15 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2199
409.0 IPS |
|
|
Image Classification (HP)
|
100% |
2216
412.1 IPS |
|
|
Image Classification (Q)
|
99% |
996
185.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2667
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2742
44.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
894
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3200
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3179
3.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
2550
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
2288
181.5 IPS |
|
|
Object Detection (HP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (Q)
|
85% |
840
67.6 IPS |
|
|
Face Detection (SP)
|
100% |
4723
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
4825
57.3 IPS |
|
|
Face Detection (Q)
|
97% |
2181
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3647
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3722
28.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1678
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3219
4.14 IPS |
|
|
Style Transfer (HP)
|
100% |
3223
4.14 IPS |
|
|
Style Transfer (Q)
|
98% |
4756
6.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2482
91.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2487
91.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1312
48.6 IPS |
|
|
Text Classification (SP)
|
100% |
2390
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (Q)
|
92% |
687
923.5 IPS |
|
|
Machine Translation (SP)
|
100% |
4445
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4435
76.4 IPS |
|
|
Machine Translation (Q)
|
58% |
588
13.8 IPS |
