ASRock X670E Pro RS
Geekbench AI Score
4254
Single Precision Score
1025
Half Precision Score
8849
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | December 28 2024 02:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | ASRock X670E Pro RS |
| Motherboard | ASRock X670E Pro RS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 6.07 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1675
311.5 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.5 IPS |
|
|
Image Classification (Q)
|
97% |
8059
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (Q)
|
99% |
3691
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15387
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6885
8.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
44577
52.3 IPS |
|
|
Object Detection (SP)
|
100% |
2156
171.1 IPS |
|
|
Object Detection (HP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (Q)
|
86% |
8986
722.2 IPS |
|
|
Face Detection (SP)
|
100% |
3522
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
434
5.15 IPS |
|
|
Face Detection (Q)
|
97% |
15190
181.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9805
75.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1312
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17194
137.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26943
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18889
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
31690
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3249
120.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2911
107.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4296
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
1758
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
568
758.3 IPS |
|
|
Text Classification (Q)
|
97% |
1846
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2688
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3767
75.7 IPS |
