ASRock B650E PG-ITX WiFi
Geekbench AI Score
4077
Single Precision Score
992
Half Precision Score
8645
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | February 25 2025 01:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2446
454.8 IPS |
|
|
Image Classification (HP)
|
100% |
203
37.8 IPS |
|
|
Image Classification (Q)
|
97% |
8625
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.47 IPS |
|
|
Image Segmentation (Q)
|
99% |
3643
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6777
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
5553
6.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
24140
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (Q)
|
86% |
8523
685.0 IPS |
|
|
Face Detection (SP)
|
100% |
4511
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
418
4.96 IPS |
|
|
Face Detection (Q)
|
97% |
17131
204.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7845
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1238
9.54 IPS |
|
|
Depth Estimation (Q)
|
78% |
17694
141.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17023
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15666
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
30159
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2946
108.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2475
91.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4122
152.6 IPS |
|
|
Text Classification (SP)
|
100% |
2528
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
706
942.6 IPS |
|
|
Text Classification (Q)
|
97% |
2092
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2930
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4578
92.0 IPS |
