To Be Filled By O.E.M. X570M Pro4
Geekbench AI Score
1241
Single Precision Score
1244
Half Precision Score
1273
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | bobolopolis |
| Upload Date | March 08 2025 07:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 3950X |
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | To Be Filled By O.E.M. X570M Pro4 |
| Motherboard | ASRock X570M Pro4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.76 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
862
160.3 IPS |
|
|
Image Classification (HP)
|
100% |
862
160.3 IPS |
|
|
Image Classification (Q)
|
99% |
763
142.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1347
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
987
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1966
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1973
2.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
3492
4.09 IPS |
|
|
Object Detection (SP)
|
100% |
877
69.6 IPS |
|
|
Object Detection (HP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (Q)
|
85% |
923
74.3 IPS |
|
|
Face Detection (SP)
|
100% |
1457
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1501
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
1549
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1394
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1391
10.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1622
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2247
2.89 IPS |
|
|
Style Transfer (HP)
|
100% |
2223
2.86 IPS |
|
|
Style Transfer (Q)
|
98% |
4914
6.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
850
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1388
51.4 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
92% |
546
733.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1462
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (Q)
|
58% |
495
11.6 IPS |
