ASRock X870E Nova WiFi
Geekbench AI Score
38559
Single Precision Score
55432
Half Precision Score
33096
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | r1348 |
| Upload Date | February 12 2026 10:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Nova WiFi |
| Motherboard | ASRock X870E Nova WiFi |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16393
3.05 KIPS |
|
|
Image Classification (HP)
|
100% |
19740
3.67 KIPS |
|
|
Image Classification (Q)
|
99% |
15420
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21152
342.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
25101
406.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
27771
451.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
222704
259.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
689161
804.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
201421
235.9 IPS |
|
|
Object Detection (SP)
|
100% |
18872
1.50 KIPS |
|
|
Object Detection (HP)
|
99% |
24367
1.93 KIPS |
|
|
Object Detection (Q)
|
87% |
18005
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
60308
716.6 IPS |
|
|
Face Detection (HP)
|
100% |
74616
886.6 IPS |
|
|
Face Detection (Q)
|
97% |
52993
631.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
87574
674.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
137150
1.06 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72486
580.9 IPS |
|
|
Style Transfer (SP)
|
100% |
418554
538.1 IPS |
|
|
Style Transfer (HP)
|
100% |
758615
975.2 IPS |
|
|
Style Transfer (Q)
|
98% |
381640
492.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54693
2.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90993
3.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44775
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
4992
6.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5517
7.36 KIPS |
|
|
Text Classification (Q)
|
97% |
3469
4.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
8262
142.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8447
145.5 IPS |
|
|
Machine Translation (Q)
|
70% |
4459
83.6 IPS |
