AB350 Pro4
Geekbench AI Score
2689
Single Precision Score
1071
Half Precision Score
3173
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Dee_Ment |
| Upload Date | January 22 2025 01:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | AB350 Pro4 |
| Motherboard | ASRock AB350 Pro4 |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1962
365.0 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.1 IPS |
|
|
Image Classification (Q)
|
96% |
3422
639.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
461
7.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
1806
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9220
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5184
6.05 IPS |
|
|
Pose Estimation (Q)
|
86% |
10506
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1982
157.2 IPS |
|
|
Object Detection (HP)
|
100% |
463
36.8 IPS |
|
|
Object Detection (Q)
|
58% |
2297
251.0 IPS |
|
|
Face Detection (SP)
|
100% |
3659
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
1026
12.2 IPS |
|
|
Face Detection (Q)
|
96% |
5992
71.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6673
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1721
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8230
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16245
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13936
17.9 IPS |
|
|
Style Transfer (Q)
|
87% |
14210
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1551
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1194
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1744
64.6 IPS |
|
|
Text Classification (SP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
382
509.9 IPS |
|
|
Text Classification (Q)
|
97% |
333
446.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (Q)
|
68% |
1706
33.0 IPS |
