ASRock A620M Pro RS
Geekbench AI Score
4536
Single Precision Score
1717
Half Precision Score
7447
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | 2meter2 |
| Upload Date | December 31 2024 06:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASRock A620M Pro RS |
| Motherboard | ASRock A620M Pro RS |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3549
660.0 IPS |
|
|
Image Classification (HP)
|
100% |
574
106.8 IPS |
|
|
Image Classification (Q)
|
99% |
8521
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2261
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
814
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3278
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8690
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
6414
7.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
35803
42.0 IPS |
|
|
Object Detection (SP)
|
100% |
3481
276.1 IPS |
|
|
Object Detection (HP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (Q)
|
86% |
7511
603.7 IPS |
|
|
Face Detection (SP)
|
100% |
7437
88.4 IPS |
|
|
Face Detection (HP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
11663
139.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9900
76.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2738
21.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
20105
160.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19320
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17180
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
39580
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2441
90.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2203
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4134
153.1 IPS |
|
|
Text Classification (SP)
|
100% |
1570
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
490
657.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2787
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3715
74.7 IPS |
