ASRock X870E Nova WiFi
Geekbench AI Score
46756
Single Precision Score
69252
Half Precision Score
34717
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | multiverse17 |
| Upload Date | March 01 2025 05:23 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Nova WiFi |
| Motherboard | ASRock X870E Nova WiFi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17602
3.27 KIPS |
|
|
Image Classification (HP)
|
100% |
23111
4.30 KIPS |
|
|
Image Classification (Q)
|
100% |
14921
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29648
480.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
36667
594.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
28747
467.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
401923
469.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
918919
1.07 KIPS |
|
|
Pose Estimation (Q)
|
96% |
315197
369.2 IPS |
|
|
Object Detection (SP)
|
100% |
24997
1.98 KIPS |
|
|
Object Detection (HP)
|
100% |
32655
2.59 KIPS |
|
|
Object Detection (Q)
|
85% |
20420
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
66794
793.7 IPS |
|
|
Face Detection (HP)
|
100% |
87904
1.04 KIPS |
|
|
Face Detection (Q)
|
97% |
55066
656.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
109410
842.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
191979
1.48 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78192
626.3 IPS |
|
|
Style Transfer (SP)
|
100% |
624758
803.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1755464
2.26 KIPS |
|
|
Style Transfer (Q)
|
98% |
523934
675.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75795
2.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
101188
3.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53870
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
4340
5.79 KIPS |
|
|
Text Classification (HP)
|
100% |
5313
7.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2557
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
6342
109.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6265
107.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2965
55.6 IPS |
