ASRock X870E Nova WiFi
Geekbench AI Score
51545
Single Precision Score
78021
Half Precision Score
37641
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 23 2025 05:12 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock X870E Nova WiFi |
| Motherboard | ASRock X870E Nova WiFi |
| Power Plan | Hchstleistung |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18581
3.46 KIPS |
|
|
Image Classification (HP)
|
100% |
23765
4.42 KIPS |
|
|
Image Classification (Q)
|
100% |
15919
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
40533
657.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
52962
858.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
37613
611.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
425059
496.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
1060511
1.24 KIPS |
|
|
Pose Estimation (Q)
|
96% |
339529
397.7 IPS |
|
|
Object Detection (SP)
|
100% |
26437
2.10 KIPS |
|
|
Object Detection (HP)
|
100% |
35388
2.81 KIPS |
|
|
Object Detection (Q)
|
85% |
21782
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
80814
960.2 IPS |
|
|
Face Detection (HP)
|
100% |
110513
1.31 KIPS |
|
|
Face Detection (Q)
|
97% |
63470
756.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
112710
868.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
200311
1.54 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79995
640.7 IPS |
|
|
Style Transfer (SP)
|
100% |
635450
816.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1890949
2.43 KIPS |
|
|
Style Transfer (Q)
|
98% |
529927
683.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
79098
2.92 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
103205
3.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55894
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
4392
5.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5270
7.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2608
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
7781
134.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7772
133.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3288
61.7 IPS |
