ASRock X870 Pro RS
Geekbench AI Score
6900
Single Precision Score
2545
Half Precision Score
9739
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | CtrlWater |
| Upload Date | May 05 2025 10:47 AM |
| Views | 6 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4472
831.6 IPS |
|
|
Image Classification (HP)
|
100% |
809
150.4 IPS |
|
|
Image Classification (Q)
|
99% |
11389
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2981
48.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4182
68.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
26381
30.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12912
15.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
72516
85.0 IPS |
|
|
Object Detection (SP)
|
100% |
4841
384.0 IPS |
|
|
Object Detection (HP)
|
100% |
1002
79.5 IPS |
|
|
Object Detection (Q)
|
86% |
11183
898.8 IPS |
|
|
Face Detection (SP)
|
100% |
8645
102.7 IPS |
|
|
Face Detection (HP)
|
100% |
2237
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
13740
163.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15918
122.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3870
29.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
29557
235.9 IPS |
|
|
Style Transfer (SP)
|
100% |
36805
47.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33316
42.8 IPS |
|
|
Style Transfer (Q)
|
98% |
41525
53.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4362
161.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3157
116.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5404
200.1 IPS |
|
|
Text Classification (SP)
|
100% |
2092
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
925
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
534
715.6 IPS |
|
|
Machine Translation (SP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4088
82.1 IPS |
