ASRock X870 Pro RS
Geekbench AI Score
7735
Single Precision Score
2687
Half Precision Score
10486
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | CtrlWater |
| Upload Date | May 09 2025 01:12 PM |
| Views | 8 |
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% |
5378
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
824
153.2 IPS |
|
|
Image Classification (Q)
|
99% |
12036
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3214
52.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4261
69.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
25066
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14642
17.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
82897
97.2 IPS |
|
|
Object Detection (SP)
|
100% |
5655
448.5 IPS |
|
|
Object Detection (HP)
|
100% |
1073
85.1 IPS |
|
|
Object Detection (Q)
|
86% |
11620
933.9 IPS |
|
|
Face Detection (SP)
|
100% |
9642
114.6 IPS |
|
|
Face Detection (HP)
|
100% |
2463
29.3 IPS |
|
|
Face Detection (Q)
|
97% |
14606
174.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19723
152.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3709
28.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
29803
237.8 IPS |
|
|
Style Transfer (SP)
|
100% |
40367
51.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35062
45.1 IPS |
|
|
Style Transfer (Q)
|
98% |
52583
67.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4773
176.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3585
132.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5997
222.0 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
925
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
530
709.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3724
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4476
89.9 IPS |
