ASRock A620M Pro RS
Geekbench AI Score
4506
Single Precision Score
1721
Half Precision Score
7325
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | 2meter2 |
| Upload Date | January 03 2025 08:46 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% |
3143
584.5 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.7 IPS |
|
|
Image Classification (Q)
|
99% |
8549
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
811
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3288
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8608
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6854
8.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
36224
42.5 IPS |
|
|
Object Detection (SP)
|
100% |
3322
263.5 IPS |
|
|
Object Detection (HP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (Q)
|
86% |
7672
616.6 IPS |
|
|
Face Detection (SP)
|
100% |
7406
88.0 IPS |
|
|
Face Detection (HP)
|
100% |
1539
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
11314
134.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9978
76.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2708
20.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19397
154.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21117
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16886
21.7 IPS |
|
|
Style Transfer (Q)
|
98% |
38940
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2526
93.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2164
79.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4223
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
1543
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
490
655.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2722
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3220
64.7 IPS |
