ASRock B650E PG-ITX WiFi
Geekbench AI Score
2796
Single Precision Score
2806
Half Precision Score
1705
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | May 08 2025 12:44 PM |
| Views | 6 |
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% |
1937
360.2 IPS |
|
|
Image Classification (HP)
|
100% |
1951
362.9 IPS |
|
|
Image Classification (Q)
|
99% |
1074
200.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2725
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2721
44.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1138
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3075
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3090
3.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
3317
3.89 IPS |
|
|
Object Detection (SP)
|
100% |
1859
147.4 IPS |
|
|
Object Detection (HP)
|
100% |
1865
147.9 IPS |
|
|
Object Detection (Q)
|
85% |
1096
88.2 IPS |
|
|
Face Detection (SP)
|
100% |
3831
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
3864
45.9 IPS |
|
|
Face Detection (Q)
|
97% |
2858
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3230
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3236
24.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2001
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3394
4.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3415
4.39 IPS |
|
|
Style Transfer (Q)
|
98% |
6004
7.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2493
92.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2491
92.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1773
65.7 IPS |
|
|
Text Classification (SP)
|
100% |
2586
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2585
3.45 KIPS |
|
|
Text Classification (Q)
|
92% |
950
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3586
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (Q)
|
58% |
808
19.0 IPS |
