Dryad ASRock X870 Pro RS WiFi
Geekbench AI Score
2290
Single Precision Score
2284
Half Precision Score
2266
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | sterlingphoenix |
| Upload Date | April 21 2025 07:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | ASRock X870 Pro RS WiFi |
| Motherboard | ASRock X870 Pro RS WiFi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.88 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 122.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1589
295.5 IPS |
|
|
Image Classification (HP)
|
100% |
1565
291.0 IPS |
|
|
Image Classification (Q)
|
99% |
1556
290.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2769
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2793
45.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1461
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3015
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3027
3.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
5859
6.86 IPS |
|
|
Object Detection (SP)
|
100% |
1808
143.4 IPS |
|
|
Object Detection (HP)
|
100% |
1840
145.9 IPS |
|
|
Object Detection (Q)
|
85% |
1915
154.2 IPS |
|
|
Face Detection (SP)
|
100% |
2542
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
2595
30.8 IPS |
|
|
Face Detection (Q)
|
97% |
3313
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2566
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2582
19.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2833
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3026
3.89 IPS |
|
|
Style Transfer (HP)
|
100% |
3040
3.91 IPS |
|
|
Style Transfer (Q)
|
98% |
8077
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1683
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1658
61.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2517
93.3 IPS |
|
|
Text Classification (SP)
|
100% |
1553
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1598
2.13 KIPS |
|
|
Text Classification (Q)
|
92% |
920
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3209
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2953
50.9 IPS |
|
|
Machine Translation (Q)
|
58% |
799
18.8 IPS |
