To Be Filled By O.E.M. AB350 Pro4
Geekbench AI Score
3039
Single Precision Score
3040
Half Precision Score
1332
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Spiike |
| Upload Date | April 21 2025 01:54 PM |
| Views | 4 |
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% |
2190
407.3 IPS |
|
|
Image Classification (HP)
|
100% |
2210
411.0 IPS |
|
|
Image Classification (Q)
|
99% |
993
185.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2658
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2678
43.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
891
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3181
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3179
3.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
2546
2.98 IPS |
|
|
Object Detection (SP)
|
100% |
2283
181.1 IPS |
|
|
Object Detection (HP)
|
100% |
2286
181.3 IPS |
|
|
Object Detection (Q)
|
85% |
842
67.8 IPS |
|
|
Face Detection (SP)
|
100% |
4836
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
4755
56.5 IPS |
|
|
Face Detection (Q)
|
97% |
2189
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3786
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3810
29.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1678
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3217
4.13 IPS |
|
|
Style Transfer (HP)
|
100% |
3231
4.15 IPS |
|
|
Style Transfer (Q)
|
98% |
4756
6.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2492
92.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2471
91.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1310
48.5 IPS |
|
|
Text Classification (SP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (Q)
|
92% |
692
929.1 IPS |
|
|
Machine Translation (SP)
|
100% |
4435
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4454
76.7 IPS |
|
|
Machine Translation (Q)
|
58% |
588
13.8 IPS |
