To Be Filled By O.E.M. AB350 Pro4
Geekbench AI Score
3070
Single Precision Score
3064
Half Precision Score
1332
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Spiike |
| Upload Date | April 14 2025 06:15 PM |
| Views | 3 |
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% |
2186
406.6 IPS |
|
|
Image Classification (HP)
|
100% |
2193
407.8 IPS |
|
|
Image Classification (Q)
|
99% |
990
184.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2687
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2676
43.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
895
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3269
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3295
3.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
2550
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.2 IPS |
|
|
Object Detection (HP)
|
100% |
2290
181.7 IPS |
|
|
Object Detection (Q)
|
85% |
842
67.8 IPS |
|
|
Face Detection (SP)
|
100% |
4840
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (Q)
|
97% |
2175
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3864
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3855
29.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1676
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3402
4.37 IPS |
|
|
Style Transfer (HP)
|
100% |
3391
4.36 IPS |
|
|
Style Transfer (Q)
|
98% |
4808
6.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2488
91.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2476
91.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1307
48.4 IPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2439
3.25 KIPS |
|
|
Text Classification (Q)
|
92% |
691
928.3 IPS |
|
|
Machine Translation (SP)
|
100% |
4409
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4368
75.2 IPS |
|
|
Machine Translation (Q)
|
58% |
588
13.8 IPS |
