Generic
Geekbench AI Score
5206
Single Precision Score
5194
Half Precision Score
7336
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vassourabfc |
| Upload Date | September 29 2024 01:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900 12-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 9 5900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3578
665.4 IPS |
|
|
Image Classification (HP)
|
100% |
3831
712.4 IPS |
|
|
Image Classification (Q)
|
100% |
5258
977.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3738
60.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3703
60.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5748
93.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9788
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9560
11.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
19582
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
3612
286.5 IPS |
|
|
Object Detection (HP)
|
100% |
3715
294.7 IPS |
|
|
Object Detection (Q)
|
87% |
6003
481.5 IPS |
|
|
Face Detection (SP)
|
100% |
8366
99.4 IPS |
|
|
Face Detection (HP)
|
100% |
8167
97.0 IPS |
|
|
Face Detection (Q)
|
97% |
17626
210.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10144
78.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
9835
75.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
16785
133.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27011
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27477
35.3 IPS |
|
|
Style Transfer (Q)
|
98% |
54704
70.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5432
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5408
199.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9758
361.5 IPS |
|
|
Text Classification (SP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
798
1.07 KIPS |
|
|
Text Classification (Q)
|
91% |
440
591.1 IPS |
|
|
Machine Translation (SP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2978
51.3 IPS |
|
|
Machine Translation (Q)
|
90% |
1831
31.8 IPS |
