ASRock X870E Nova WiFi
Geekbench AI Score
12854
Single Precision Score
12607
Half Precision Score
28746
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | orphee |
| Upload Date | January 01 2025 06:09 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| 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% |
6540
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6366
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
13250
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8194
132.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7926
128.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19582
317.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27059
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
27045
31.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
109518
128.2 IPS |
|
|
Object Detection (SP)
|
100% |
7524
596.8 IPS |
|
|
Object Detection (HP)
|
100% |
7720
612.3 IPS |
|
|
Object Detection (Q)
|
88% |
15434
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
17515
208.1 IPS |
|
|
Face Detection (HP)
|
100% |
16385
194.7 IPS |
|
|
Face Detection (Q)
|
100% |
43022
511.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21448
165.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21593
166.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
60439
470.3 IPS |
|
|
Style Transfer (SP)
|
100% |
73879
95.0 IPS |
|
|
Style Transfer (HP)
|
100% |
71798
92.3 IPS |
|
|
Style Transfer (Q)
|
98% |
258046
332.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13456
496.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13211
487.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36105
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
4708
6.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4483
5.98 KIPS |
|
|
Text Classification (Q)
|
92% |
5777
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
6421
110.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6404
110.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6279
108.2 IPS |
