ASRock B650E Steel Legend WiFi
Geekbench AI Score
6169
Single Precision Score
2732
Half Precision Score
8578
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Redwoodz |
| Upload Date | November 10 2024 12:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650E Steel Legend WiFi |
| Motherboard | ASRock B650E Steel Legend WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3844
714.9 IPS |
|
|
Image Classification (HP)
|
100% |
939
174.7 IPS |
|
|
Image Classification (Q)
|
99% |
8270
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1679
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4400
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12840
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9973
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
42126
49.4 IPS |
|
|
Object Detection (SP)
|
100% |
4262
338.1 IPS |
|
|
Object Detection (HP)
|
100% |
1204
95.5 IPS |
|
|
Object Detection (Q)
|
88% |
4507
361.2 IPS |
|
|
Face Detection (SP)
|
100% |
5020
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
2740
32.6 IPS |
|
|
Face Detection (Q)
|
97% |
6931
82.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13247
102.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3864
29.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
14164
113.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29566
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21810
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35475
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5495
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4440
164.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7048
261.0 IPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1173
1.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2698
3.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4242
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (Q)
|
60% |
4720
105.3 IPS |
