ASRock B650M Pro RS
Geekbench AI Score
27473
Single Precision Score
43375
Half Precision Score
16095
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 22 2025 07:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650M Pro RS |
| Motherboard | ASRock B650M Pro RS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10826
2.01 KIPS |
|
|
Image Classification (HP)
|
99% |
15728
2.93 KIPS |
|
|
Image Classification (Q)
|
100% |
7107
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19647
318.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
30238
490.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13763
223.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
163889
191.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
376525
439.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
124327
145.7 IPS |
|
|
Object Detection (SP)
|
100% |
13975
1.11 KIPS |
|
|
Object Detection (HP)
|
100% |
21012
1.67 KIPS |
|
|
Object Detection (Q)
|
85% |
9232
742.6 IPS |
|
|
Face Detection (SP)
|
100% |
37763
448.7 IPS |
|
|
Face Detection (HP)
|
100% |
57341
681.3 IPS |
|
|
Face Detection (Q)
|
97% |
23998
286.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
67039
516.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
119999
924.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
38888
311.4 IPS |
|
|
Style Transfer (SP)
|
100% |
287162
369.2 IPS |
|
|
Style Transfer (HP)
|
100% |
699675
899.4 IPS |
|
|
Style Transfer (Q)
|
98% |
195187
251.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41082
1.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62891
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23003
851.8 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
3966
5.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1489
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5266
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5218
89.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1666
31.2 IPS |
