To Be Filled By O.E.M. A520M-ITX/ac
Geekbench AI Score
2557
Single Precision Score
2531
Half Precision Score
3473
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | sw0000 |
| Upload Date | January 27 2025 12:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 4650GE with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | To Be Filled By O.E.M. A520M-ITX/ac |
| Motherboard | ASRock A520M-ITX/ac |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 4650GE |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1693
314.9 IPS |
|
|
Image Classification (HP)
|
100% |
1689
314.1 IPS |
|
|
Image Classification (Q)
|
100% |
2312
429.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1042
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3747
4.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3557
4.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
5544
6.50 IPS |
|
|
Object Detection (SP)
|
100% |
1659
131.6 IPS |
|
|
Object Detection (HP)
|
100% |
1671
132.5 IPS |
|
|
Object Detection (Q)
|
87% |
2445
196.1 IPS |
|
|
Face Detection (SP)
|
100% |
3384
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3369
40.0 IPS |
|
|
Face Detection (Q)
|
97% |
7391
88.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4534
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4423
34.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
6534
51.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10361
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9897
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15751
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2098
77.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2039
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3242
120.1 IPS |
|
|
Text Classification (SP)
|
100% |
1799
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1799
2.40 KIPS |
|
|
Text Classification (Q)
|
91% |
1309
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2439
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2411
41.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2426
41.8 IPS |
