ASRock X870 Pro RS
Geekbench AI Score
13775
Single Precision Score
13771
Half Precision Score
30929
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Vroman |
| Upload Date | December 31 2024 03:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock X870 Pro RS |
| Motherboard | ASRock X870 Pro RS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8696
1.62 KIPS |
|
|
Image Classification (HP)
|
100% |
8717
1.62 KIPS |
|
|
Image Classification (Q)
|
100% |
17864
3.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8965
145.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8948
145.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20706
335.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17209
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17239
20.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
68701
80.4 IPS |
|
|
Object Detection (SP)
|
100% |
8968
711.3 IPS |
|
|
Object Detection (HP)
|
100% |
8845
701.6 IPS |
|
|
Object Detection (Q)
|
88% |
20516
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
27078
321.7 IPS |
|
|
Face Detection (HP)
|
100% |
27073
321.7 IPS |
|
|
Face Detection (Q)
|
100% |
51516
612.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
23670
182.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23483
180.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
59276
461.2 IPS |
|
|
Style Transfer (SP)
|
100% |
49014
63.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48161
61.9 IPS |
|
|
Style Transfer (Q)
|
98% |
172146
222.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10762
397.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10793
398.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31073
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
6602
8.81 KIPS |
|
|
Text Classification (HP)
|
100% |
6786
9.06 KIPS |
|
|
Text Classification (Q)
|
92% |
9021
12.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
9163
157.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9202
158.5 IPS |
|
|
Machine Translation (Q)
|
100% |
10430
179.7 IPS |
