ASRock B850M-X R2.0
Geekbench AI Score
6921
Single Precision Score
2783
Half Precision Score
11895
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | selyob46 |
| Upload Date | September 30 2025 05:50 PM |
| Views | 7 |
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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5048
938.8 IPS |
|
|
Image Classification (HP)
|
100% |
907
168.8 IPS |
|
|
Image Classification (Q)
|
99% |
12217
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2205
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18171
295.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22817
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14538
17.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
68343
80.1 IPS |
|
|
Object Detection (SP)
|
100% |
5332
422.9 IPS |
|
|
Object Detection (HP)
|
100% |
1115
88.4 IPS |
|
|
Object Detection (Q)
|
86% |
13053
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
9233
109.7 IPS |
|
|
Face Detection (HP)
|
100% |
2469
29.3 IPS |
|
|
Face Detection (Q)
|
97% |
14191
169.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16460
126.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4069
31.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
28438
226.9 IPS |
|
|
Style Transfer (SP)
|
100% |
38434
49.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31409
40.4 IPS |
|
|
Style Transfer (Q)
|
98% |
41429
53.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4455
164.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3371
124.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2317
85.8 IPS |
|
|
Text Classification (SP)
|
100% |
2021
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
989
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1888
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3542
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3918
78.7 IPS |
