ASRock B650 Pro RS
Geekbench AI Score
3542
Single Precision Score
3541
Half Precision Score
1906
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | Riusda |
| Upload Date | February 19 2026 03:01 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation Edition) |
| Model | ASRock B650 Pro RS |
| Motherboard | ASRock B650 Pro RS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.05 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2486
462.3 IPS |
|
|
Image Classification (HP)
|
100% |
2493
463.7 IPS |
|
|
Image Classification (Q)
|
99% |
1399
261.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3332
54.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3325
53.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1278
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4167
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4140
4.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
4022
4.71 IPS |
|
|
Object Detection (SP)
|
100% |
2020
160.2 IPS |
|
|
Object Detection (HP)
|
100% |
2032
161.2 IPS |
|
|
Object Detection (Q)
|
85% |
1266
101.9 IPS |
|
|
Face Detection (SP)
|
100% |
5505
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
5517
65.6 IPS |
|
|
Face Detection (Q)
|
97% |
2769
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4534
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4558
35.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2436
22.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4707
6.05 IPS |
|
|
Style Transfer (HP)
|
100% |
4663
5.99 IPS |
|
|
Style Transfer (Q)
|
98% |
6856
8.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2679
98.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2696
99.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1952
72.3 IPS |
|
|
Text Classification (SP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2781
3.71 KIPS |
|
|
Text Classification (Q)
|
92% |
950
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5079
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5064
87.2 IPS |
|
|
Machine Translation (Q)
|
58% |
812
19.1 IPS |
