Generic
Geekbench AI Score
1107
Single Precision Score
666
Half Precision Score
990
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Neferzix |
| Upload Date | October 26 2024 02:34 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 3200G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450M Steel Legend |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3200G |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
711
132.2 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.6 IPS |
|
|
Image Classification (Q)
|
96% |
692
129.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (Q)
|
97% |
691
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1664
1.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
1462
1.71 IPS |
|
|
Pose Estimation (Q)
|
87% |
1615
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
710
56.3 IPS |
|
|
Object Detection (HP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (Q)
|
86% |
604
48.6 IPS |
|
|
Face Detection (SP)
|
100% |
1335
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
777
9.23 IPS |
|
|
Face Detection (Q)
|
96% |
1538
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2063
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1017
7.83 IPS |
|
|
Depth Estimation (Q)
|
77% |
1642
13.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4339
5.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3823
4.91 IPS |
|
|
Style Transfer (Q)
|
87% |
3880
5.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
850
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
745
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
794
29.4 IPS |
|
|
Text Classification (SP)
|
100% |
745
994.2 IPS |
|
|
Text Classification (HP)
|
100% |
390
520.6 IPS |
|
|
Text Classification (Q)
|
97% |
301
403.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
427
7.35 IPS |
|
|
Machine Translation (Q)
|
60% |
828
18.5 IPS |
