ASRock X670E Pro RS
Geekbench AI Score
2931
Single Precision Score
2915
Half Precision Score
2465
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | December 28 2024 02:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1784
331.8 IPS |
|
|
Image Classification (HP)
|
100% |
1786
332.2 IPS |
|
|
Image Classification (Q)
|
99% |
1627
303.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3302
53.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3288
53.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1601
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4648
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4664
5.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
6648
7.79 IPS |
|
|
Object Detection (SP)
|
100% |
2114
167.7 IPS |
|
|
Object Detection (HP)
|
100% |
2086
165.5 IPS |
|
|
Object Detection (Q)
|
85% |
2042
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3279
39.0 IPS |
|
|
Face Detection (Q)
|
97% |
3478
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3481
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3482
26.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
3054
28.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4985
6.41 IPS |
|
|
Style Transfer (HP)
|
100% |
5009
6.44 IPS |
|
|
Style Transfer (Q)
|
98% |
9457
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1941
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1941
71.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2675
99.1 IPS |
|
|
Text Classification (SP)
|
100% |
1900
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1867
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
999
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3813
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3745
64.5 IPS |
|
|
Machine Translation (Q)
|
58% |
873
20.5 IPS |
