ASRock X870E Nova WiFi
Geekbench AI Score
10451
Single Precision Score
10445
Half Precision Score
26208
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | PERISHABLE |
| Upload Date | November 11 2025 09:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X3D 12-Core Processor |
| 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% |
5755
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
5612
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
14638
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6506
105.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6527
105.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19558
317.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20406
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20805
24.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
82427
96.5 IPS |
|
|
Object Detection (SP)
|
100% |
6144
487.4 IPS |
|
|
Object Detection (HP)
|
100% |
6463
512.7 IPS |
|
|
Object Detection (Q)
|
88% |
16209
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
13873
164.8 IPS |
|
|
Face Detection (HP)
|
100% |
12670
150.5 IPS |
|
|
Face Detection (Q)
|
100% |
39207
465.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15856
122.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17023
131.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
46074
358.5 IPS |
|
|
Style Transfer (SP)
|
100% |
51642
66.4 IPS |
|
|
Style Transfer (HP)
|
100% |
51777
66.6 IPS |
|
|
Style Transfer (Q)
|
98% |
181953
234.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10518
388.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10733
396.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29372
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3925
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3867
5.16 KIPS |
|
|
Text Classification (Q)
|
92% |
5186
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
7067
121.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6772
116.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7983
137.5 IPS |
