ASRock B850M-X R2.0
Geekbench AI Score
7273
Single Precision Score
2870
Half Precision Score
12088
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | selyob46 |
| Upload Date | September 20 2025 05:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B850M-X R2.0 |
| Motherboard | ASRock B850M-X R2.0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5255
977.2 IPS |
|
|
Image Classification (HP)
|
100% |
945
175.7 IPS |
|
|
Image Classification (Q)
|
99% |
11761
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16987
276.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24976
29.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15813
18.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
69563
81.6 IPS |
|
|
Object Detection (SP)
|
100% |
5432
430.8 IPS |
|
|
Object Detection (HP)
|
100% |
1152
91.3 IPS |
|
|
Object Detection (Q)
|
86% |
13630
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
10393
123.5 IPS |
|
|
Face Detection (HP)
|
100% |
2547
30.3 IPS |
|
|
Face Detection (Q)
|
97% |
14520
173.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16246
125.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4071
31.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
29611
236.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43454
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33696
43.3 IPS |
|
|
Style Transfer (Q)
|
98% |
47576
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4814
177.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3278
121.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1844
68.3 IPS |
|
|
Text Classification (SP)
|
100% |
1951
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
994
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1927
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4013
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1338
23.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4840
97.3 IPS |
