ASRock X870 Pro RS
Geekbench AI Score
8052
Single Precision Score
2833
Half Precision Score
10816
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | CtrlWater |
| Upload Date | May 09 2025 10:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870 Pro RS |
| Motherboard | ASRock X870 Pro RS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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% |
5384
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
867
161.3 IPS |
|
|
Image Classification (Q)
|
99% |
12265
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3106
50.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4476
72.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
28065
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16540
19.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
82108
96.3 IPS |
|
|
Object Detection (SP)
|
100% |
5580
442.6 IPS |
|
|
Object Detection (HP)
|
100% |
1108
87.9 IPS |
|
|
Object Detection (Q)
|
86% |
12598
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
10607
126.0 IPS |
|
|
Face Detection (HP)
|
100% |
2522
30.0 IPS |
|
|
Face Detection (Q)
|
97% |
14616
174.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19838
152.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4288
33.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
31493
251.3 IPS |
|
|
Style Transfer (SP)
|
100% |
48363
62.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38400
49.4 IPS |
|
|
Style Transfer (Q)
|
98% |
51742
66.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4923
181.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3464
127.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6511
241.1 IPS |
|
|
Text Classification (SP)
|
100% |
2069
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
960
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
546
731.5 IPS |
|
|
Machine Translation (SP)
|
100% |
4222
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4558
91.6 IPS |
