ASRock X670E Pro RS
Geekbench AI Score
5055
Single Precision Score
1877
Half Precision Score
10202
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | BenchMan2002 |
| Upload Date | August 21 2025 07:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| 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% |
4531
842.6 IPS |
|
|
Image Classification (HP)
|
100% |
610
113.4 IPS |
|
|
Image Classification (Q)
|
99% |
8990
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9888
160.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8028
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
9259
10.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
41990
49.2 IPS |
|
|
Object Detection (SP)
|
100% |
4391
348.3 IPS |
|
|
Object Detection (HP)
|
100% |
787
62.4 IPS |
|
|
Object Detection (Q)
|
86% |
10342
831.1 IPS |
|
|
Face Detection (SP)
|
100% |
8924
106.0 IPS |
|
|
Face Detection (HP)
|
100% |
1489
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
11567
137.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11450
88.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2755
21.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
22946
183.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24145
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23074
29.7 IPS |
|
|
Style Transfer (Q)
|
98% |
43047
55.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2620
96.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2436
90.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5013
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
1583
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1352
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2851
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4089
82.2 IPS |
