To Be Filled By O.E.M. X570M Pro4
Geekbench AI Score
2342
Single Precision Score
2355
Half Precision Score
2777
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | bobolopolis |
| Upload Date | March 08 2025 08:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 3950X 16-Core Processor |
| 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% |
1547
287.8 IPS |
|
|
Image Classification (HP)
|
100% |
1544
287.1 IPS |
|
|
Image Classification (Q)
|
100% |
1887
350.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
866
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3038
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3038
3.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
3793
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
100% |
1539
122.1 IPS |
|
|
Object Detection (Q)
|
87% |
1854
148.7 IPS |
|
|
Face Detection (SP)
|
100% |
3366
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
3370
40.0 IPS |
|
|
Face Detection (Q)
|
97% |
5459
65.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4194
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4194
32.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
4847
38.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8764
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8743
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
11047
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1840
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1864
68.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2283
84.6 IPS |
|
|
Text Classification (SP)
|
100% |
1861
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1853
2.47 KIPS |
|
|
Text Classification (Q)
|
91% |
1478
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2393
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2424
41.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2415
41.6 IPS |
