ASRock B850M-X R2.0
Geekbench AI Score
7401
Single Precision Score
2914
Half Precision Score
11987
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | selyob46 |
| Upload Date | September 20 2025 05:13 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5044
938.0 IPS |
|
|
Image Classification (HP)
|
100% |
938
174.4 IPS |
|
|
Image Classification (Q)
|
99% |
11148
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18585
302.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24969
29.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15256
17.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
68602
80.4 IPS |
|
|
Object Detection (SP)
|
100% |
5459
433.0 IPS |
|
|
Object Detection (HP)
|
100% |
1167
92.6 IPS |
|
|
Object Detection (Q)
|
86% |
13348
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
10568
125.6 IPS |
|
|
Face Detection (HP)
|
100% |
2552
30.3 IPS |
|
|
Face Detection (Q)
|
97% |
14538
173.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16522
127.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4181
32.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
29653
236.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43738
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33797
43.4 IPS |
|
|
Style Transfer (Q)
|
98% |
47189
60.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4641
171.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3599
132.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1787
66.2 IPS |
|
|
Text Classification (SP)
|
100% |
2135
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1860
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4056
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1376
23.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4775
95.9 IPS |
