ASRock X670E Pro RS
Geekbench AI Score
9078
Single Precision Score
8995
Half Precision Score
21952
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | BenchMan2002 |
| Upload Date | August 21 2025 07:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X670E Pro RS |
| Motherboard | ASRock X670E Pro RS |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4955
921.5 IPS |
|
|
Image Classification (HP)
|
100% |
5108
949.9 IPS |
|
|
Image Classification (Q)
|
100% |
13182
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6739
109.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6846
111.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18605
301.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14955
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14396
16.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
59032
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
5532
438.8 IPS |
|
|
Object Detection (HP)
|
100% |
5351
424.5 IPS |
|
|
Object Detection (Q)
|
88% |
13728
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
13459
159.9 IPS |
|
|
Face Detection (HP)
|
100% |
13092
155.6 IPS |
|
|
Face Detection (Q)
|
100% |
35880
426.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15478
119.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15164
116.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
42653
331.9 IPS |
|
|
Style Transfer (SP)
|
100% |
38091
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38640
49.7 IPS |
|
|
Style Transfer (Q)
|
98% |
140393
181.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7997
295.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7967
294.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22575
836.0 IPS |
|
|
Text Classification (SP)
|
100% |
3642
4.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3609
4.82 KIPS |
|
|
Text Classification (Q)
|
92% |
4308
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5960
102.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5842
100.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6260
107.8 IPS |
