ASRock A620M Pro RS
Geekbench AI Score
4478
Single Precision Score
1733
Half Precision Score
7527
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | 2meter2 |
| Upload Date | January 03 2025 08:50 AM |
| Views | 2 |
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% |
3723
692.3 IPS |
|
|
Image Classification (HP)
|
100% |
582
108.3 IPS |
|
|
Image Classification (Q)
|
99% |
8943
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
817
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3293
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8016
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
6590
7.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
36736
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
3479
276.0 IPS |
|
|
Object Detection (HP)
|
100% |
733
58.1 IPS |
|
|
Object Detection (Q)
|
86% |
7513
603.8 IPS |
|
|
Face Detection (SP)
|
100% |
7429
88.3 IPS |
|
|
Face Detection (HP)
|
100% |
1543
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
11666
139.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9733
75.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2743
21.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
19619
156.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18578
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17654
22.7 IPS |
|
|
Style Transfer (Q)
|
98% |
40025
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2301
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2177
80.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4179
154.7 IPS |
|
|
Text Classification (SP)
|
100% |
1547
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
501
671.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2903
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3746
75.3 IPS |
