ASRock B650E PG-ITX WiFi
Geekbench AI Score
2954
Single Precision Score
2967
Half Precision Score
1719
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | February 25 2025 01:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ASRock B650E PG-ITX WiFi |
| Motherboard | ASRock B650E PG-ITX WiFi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.45 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1969
366.3 IPS |
|
|
Image Classification (HP)
|
100% |
1964
365.2 IPS |
|
|
Image Classification (Q)
|
99% |
1077
200.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2755
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2790
45.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1137
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3407
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3369
3.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
3355
3.93 IPS |
|
|
Object Detection (SP)
|
100% |
1906
151.2 IPS |
|
|
Object Detection (HP)
|
100% |
1898
150.6 IPS |
|
|
Object Detection (Q)
|
85% |
1096
88.2 IPS |
|
|
Face Detection (SP)
|
100% |
4193
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
4244
50.4 IPS |
|
|
Face Detection (Q)
|
97% |
2855
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3498
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3485
26.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2029
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3895
5.01 IPS |
|
|
Style Transfer (HP)
|
100% |
3952
5.08 IPS |
|
|
Style Transfer (Q)
|
98% |
6214
8.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2536
93.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2536
93.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1780
66.0 IPS |
|
|
Text Classification (SP)
|
100% |
2607
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2633
3.51 KIPS |
|
|
Text Classification (Q)
|
92% |
958
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3808
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3874
66.7 IPS |
|
|
Machine Translation (Q)
|
58% |
817
19.2 IPS |
