To Be Filled By O.E.M. X570M Pro4
Geekbench AI Score
2280
Single Precision Score
600
Half Precision Score
3611
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | bobolopolis |
| Upload Date | March 08 2025 08:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1163
216.3 IPS |
|
|
Image Classification (HP)
|
100% |
144
26.8 IPS |
|
|
Image Classification (Q)
|
94% |
2980
556.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
737
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
150
2.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
1922
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9651
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4392
5.12 IPS |
|
|
Pose Estimation (Q)
|
86% |
10621
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (HP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (Q)
|
58% |
2679
292.7 IPS |
|
|
Face Detection (SP)
|
100% |
1933
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
254
3.02 IPS |
|
|
Face Detection (Q)
|
96% |
7968
95.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5163
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
936
7.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
6656
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16784
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13945
17.9 IPS |
|
|
Style Transfer (Q)
|
87% |
13039
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1423
52.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1230
45.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2130
78.9 IPS |
|
|
Text Classification (SP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
223
298.2 IPS |
|
|
Text Classification (Q)
|
97% |
877
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1431
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (Q)
|
68% |
1792
34.6 IPS |
