ASRock X870 Riptide WiFi
Geekbench AI Score
33760
Single Precision Score
50567
Half Precision Score
25554
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | moonhead95 |
| Upload Date | August 29 2025 11:42 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870 Riptide WiFi |
| Motherboard | ASRock X870 Riptide WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12866
2.39 KIPS |
|
|
Image Classification (HP)
|
99% |
18357
3.42 KIPS |
|
|
Image Classification (Q)
|
100% |
11361
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24185
392.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
32535
527.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22035
358.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
203073
237.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
498430
581.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
180441
211.4 IPS |
|
|
Object Detection (SP)
|
100% |
16675
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
24797
1.97 KIPS |
|
|
Object Detection (Q)
|
85% |
13855
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
48816
580.0 IPS |
|
|
Face Detection (HP)
|
100% |
66100
785.4 IPS |
|
|
Face Detection (Q)
|
97% |
40876
487.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
84210
648.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
140479
1.09 KIPS |
|
|
Depth Estimation (Q)
|
77% |
63120
504.6 IPS |
|
|
Style Transfer (SP)
|
100% |
363916
467.8 IPS |
|
|
Style Transfer (HP)
|
100% |
853867
1.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
318598
410.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52795
1.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66634
2.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37547
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
4505
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2205
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
6260
107.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6223
107.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2788
52.3 IPS |
