ASRock X870E Nova WiFi
Geekbench AI Score
1949
Single Precision Score
2081
Half Precision Score
1601
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | orphee |
| Upload Date | January 01 2025 06:08 PM |
| Views | 10 |
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 | 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
670
124.7 IPS |
|
|
Image Classification (HP)
|
100% |
649
120.7 IPS |
|
|
Image Classification (Q)
|
100% |
663
123.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
980
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6513
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
10736
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
5930
6.95 IPS |
|
|
Object Detection (SP)
|
100% |
718
57.0 IPS |
|
|
Object Detection (HP)
|
100% |
669
53.1 IPS |
|
|
Object Detection (Q)
|
87% |
683
54.8 IPS |
|
|
Face Detection (SP)
|
100% |
2167
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2158
25.6 IPS |
|
|
Face Detection (Q)
|
97% |
2017
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3779
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4483
34.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3297
26.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11262
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16274
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9896
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2808
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3734
137.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2112
78.2 IPS |
|
|
Text Classification (SP)
|
100% |
738
985.0 IPS |
|
|
Text Classification (HP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
510
682.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1170
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1122
19.3 IPS |
|
|
Machine Translation (Q)
|
70% |
594
11.1 IPS |
