ASRock X870E Nova WiFi
Geekbench AI Score
3049
Single Precision Score
3099
Half Precision Score
2531
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | gbmk |
| Upload Date | May 08 2025 10:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ASRock X870E Nova WiFi |
| Motherboard | ASRock X870E Nova WiFi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.66 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2107
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
2157
401.2 IPS |
|
|
Image Classification (Q)
|
99% |
1872
349.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3272
53.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3370
54.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1659
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4262
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4354
5.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
5647
6.62 IPS |
|
|
Object Detection (SP)
|
100% |
2112
167.5 IPS |
|
|
Object Detection (HP)
|
100% |
2275
180.4 IPS |
|
|
Object Detection (Q)
|
85% |
2049
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
3995
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
4040
48.0 IPS |
|
|
Face Detection (Q)
|
97% |
3989
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3443
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3439
26.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3188
29.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4609
5.92 IPS |
|
|
Style Transfer (HP)
|
100% |
4638
5.96 IPS |
|
|
Style Transfer (Q)
|
98% |
9314
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2304
85.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2306
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2651
98.2 IPS |
|
|
Text Classification (SP)
|
100% |
1827
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1870
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
1036
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4205
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4090
70.5 IPS |
|
|
Machine Translation (Q)
|
58% |
924
21.7 IPS |
