ASRock X870 Pro RS WiFi
Geekbench AI Score
3265
Single Precision Score
3243
Half Precision Score
2897
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | fhunleth |
| Upload Date | February 22 2025 01:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ASRock X870 Pro RS WiFi |
| Motherboard | ASRock X870 Pro RS WiFi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.75 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2324
432.2 IPS |
|
|
Image Classification (HP)
|
100% |
2332
433.7 IPS |
|
|
Image Classification (Q)
|
99% |
2165
403.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3634
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3646
59.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1923
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4574
5.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
4582
5.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
7383
8.65 IPS |
|
|
Object Detection (SP)
|
100% |
2633
208.8 IPS |
|
|
Object Detection (HP)
|
100% |
2542
201.7 IPS |
|
|
Object Detection (Q)
|
85% |
2543
204.7 IPS |
|
|
Face Detection (SP)
|
100% |
4054
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
4019
47.8 IPS |
|
|
Face Detection (Q)
|
97% |
4360
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3539
27.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3549
27.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3622
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4325
5.56 IPS |
|
|
Style Transfer (HP)
|
100% |
4334
5.57 IPS |
|
|
Style Transfer (Q)
|
98% |
10076
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2484
91.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2466
91.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3064
113.5 IPS |
|
|
Text Classification (SP)
|
100% |
2070
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2029
2.71 KIPS |
|
|
Text Classification (Q)
|
92% |
1142
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4251
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4206
72.5 IPS |
|
|
Machine Translation (Q)
|
58% |
957
22.5 IPS |
