To Be Filled By O.E.M. X570M Pro4
Geekbench AI Score
1113
Single Precision Score
1117
Half Precision Score
876
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | pmjbf |
| Upload Date | January 13 2025 10:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Fedora Linux 40 (Forty) |
| Model | To Be Filled By O.E.M. X570M Pro4 |
| Motherboard | ASRock X570M Pro4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.21 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
761
141.5 IPS |
|
|
Image Classification (HP)
|
100% |
767
142.6 IPS |
|
|
Image Classification (Q)
|
99% |
526
98.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
689
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1572
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1569
1.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
1716
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
824
65.3 IPS |
|
|
Object Detection (HP)
|
100% |
829
65.7 IPS |
|
|
Object Detection (Q)
|
85% |
564
45.4 IPS |
|
|
Face Detection (SP)
|
100% |
1330
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
1329
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
1228
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1284
9.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
1279
9.85 IPS |
|
|
Depth Estimation (Q)
|
63% |
1167
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1786
2.30 IPS |
|
|
Style Transfer (HP)
|
100% |
1792
2.30 IPS |
|
|
Style Transfer (Q)
|
98% |
3180
4.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
869
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
869
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
828
1.11 KIPS |
|
|
Text Classification (Q)
|
92% |
452
607.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (Q)
|
58% |
426
9.99 IPS |
