Generic
Geekbench AI Score
4130
Single Precision Score
4165
Half Precision Score
6359
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vassourabfc |
| Upload Date | September 10 2024 04:57 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B550 Phantom Gaming-ITX/ax |
| Power Plan | Desempenho Mximo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2836
527.4 IPS |
|
|
Image Classification (HP)
|
100% |
2879
535.4 IPS |
|
|
Image Classification (Q)
|
100% |
4260
792.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2598
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2587
41.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4243
69.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5311
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
5309
6.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
10803
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
2614
207.3 IPS |
|
|
Object Detection (HP)
|
100% |
2619
207.7 IPS |
|
|
Object Detection (Q)
|
87% |
4531
363.4 IPS |
|
|
Face Detection (SP)
|
100% |
5706
67.8 IPS |
|
|
Face Detection (HP)
|
100% |
5682
67.5 IPS |
|
|
Face Detection (Q)
|
97% |
12668
151.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6877
53.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
6733
51.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
11724
93.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15216
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15219
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30521
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3144
116.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3223
119.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6232
230.8 IPS |
|
|
Text Classification (SP)
|
100% |
2048
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2069
2.76 KIPS |
|
|
Text Classification (Q)
|
91% |
1519
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3672
63.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (Q)
|
90% |
2849
49.5 IPS |
