ASRock X670E Pro RS
Geekbench AI Score
2956
Single Precision Score
2955
Half Precision Score
2501
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | StealthyMollusk |
| Upload Date | June 11 2025 07:13 PM |
| Views | 7 |
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% |
1837
341.6 IPS |
|
|
Image Classification (HP)
|
100% |
1824
339.2 IPS |
|
|
Image Classification (Q)
|
99% |
1719
320.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3466
56.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3489
56.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1603
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4603
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
4646
5.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
6710
7.86 IPS |
|
|
Object Detection (SP)
|
100% |
2113
167.6 IPS |
|
|
Object Detection (HP)
|
100% |
2095
166.2 IPS |
|
|
Object Detection (Q)
|
85% |
2090
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
3353
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
3397
40.4 IPS |
|
|
Face Detection (Q)
|
97% |
3611
43.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3461
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3394
26.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3043
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5038
6.48 IPS |
|
|
Style Transfer (HP)
|
100% |
5055
6.50 IPS |
|
|
Style Transfer (Q)
|
98% |
9535
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1919
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1912
70.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2714
100.6 IPS |
|
|
Text Classification (SP)
|
100% |
1846
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1797
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
1005
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3980
68.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4104
70.7 IPS |
|
|
Machine Translation (Q)
|
58% |
869
20.4 IPS |
