ASRock B650M Pro RS
Geekbench AI Score
38137
Single Precision Score
62190
Half Precision Score
28763
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | digriz69 |
| Upload Date | February 20 2026 08:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro N (64-bit) |
| Model | ASRock B650M Pro RS |
| Motherboard | ASRock B650M Pro RS |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14175
2.64 KIPS |
|
|
Image Classification (HP)
|
100% |
20190
3.75 KIPS |
|
|
Image Classification (Q)
|
100% |
12591
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31187
505.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
43550
706.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
27685
450.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
250712
292.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
768235
896.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
214496
251.3 IPS |
|
|
Object Detection (SP)
|
100% |
20011
1.59 KIPS |
|
|
Object Detection (HP)
|
100% |
29642
2.35 KIPS |
|
|
Object Detection (Q)
|
86% |
16851
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
60815
722.6 IPS |
|
|
Face Detection (HP)
|
100% |
87107
1.04 KIPS |
|
|
Face Detection (Q)
|
97% |
49018
584.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
93433
719.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
168056
1.29 KIPS |
|
|
Depth Estimation (Q)
|
78% |
69457
554.7 IPS |
|
|
Style Transfer (SP)
|
100% |
371893
478.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1160489
1.49 KIPS |
|
|
Style Transfer (Q)
|
98% |
320018
412.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54723
2.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80060
2.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42298
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4139
5.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2271
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
7417
127.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7678
132.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2940
55.2 IPS |
