KoratPlus-KRK
Geekbench AI Score
2019
Single Precision Score
1276
Half Precision Score
3773
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 07:27 AM |
| Views | 118 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001600-40_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | KoratPlus-KRK |
| Motherboard | ASUSTeK COMPUTER INC. KoratPlus-KRK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000001600-40_Y |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1189
221.1 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.2 IPS |
|
|
Image Classification (Q)
|
99% |
4054
756.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1053
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
761
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2545
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3817
4.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3331
3.89 IPS |
|
|
Pose Estimation (Q)
|
95% |
15669
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.2 IPS |
|
|
Object Detection (HP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (Q)
|
88% |
2010
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
1157
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
2435
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3752
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2012
15.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4890
39.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8721
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8229
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
14040
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1827
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1678
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3244
120.1 IPS |
|
|
Text Classification (SP)
|
100% |
1920
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1978
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1681
37.5 IPS |
