ASRock X870E Nova WiFi
Geekbench AI Score
1931
Single Precision Score
2104
Half Precision Score
1579
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 09:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Nova WiFi |
| Motherboard | ASRock X870E Nova WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X3D |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
662
123.2 IPS |
|
|
Image Classification (HP)
|
100% |
642
119.5 IPS |
|
|
Image Classification (Q)
|
100% |
659
122.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
985
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6498
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
10680
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
5808
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
708
56.1 IPS |
|
|
Object Detection (HP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
87% |
673
54.1 IPS |
|
|
Face Detection (SP)
|
100% |
2103
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2134
25.4 IPS |
|
|
Face Detection (Q)
|
97% |
1967
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3695
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4396
34.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
3229
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11114
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16144
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
9726
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2777
102.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3695
136.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2064
76.4 IPS |
|
|
Text Classification (SP)
|
100% |
705
941.7 IPS |
|
|
Text Classification (HP)
|
100% |
869
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
490
656.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (Q)
|
70% |
610
11.4 IPS |
