Generic
Geekbench AI Score
5354
Single Precision Score
5308
Half Precision Score
7589
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vassourabfc |
| Upload Date | October 19 2024 07:37 PM |
| Views | 13 |
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% |
3714
690.6 IPS |
|
|
Image Classification (HP)
|
100% |
3596
668.7 IPS |
|
|
Image Classification (Q)
|
100% |
5319
989.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3637
59.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3714
60.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5839
94.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9984
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9862
11.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
20124
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
3960
314.1 IPS |
|
|
Object Detection (HP)
|
100% |
3853
305.6 IPS |
|
|
Object Detection (Q)
|
87% |
6055
485.6 IPS |
|
|
Face Detection (SP)
|
100% |
8738
103.8 IPS |
|
|
Face Detection (HP)
|
100% |
8847
105.1 IPS |
|
|
Face Detection (Q)
|
97% |
18410
219.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10382
80.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
10417
80.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
17541
139.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28305
36.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28195
36.2 IPS |
|
|
Style Transfer (Q)
|
98% |
55484
71.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5457
201.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5375
198.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10257
379.9 IPS |
|
|
Text Classification (SP)
|
100% |
851
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (Q)
|
91% |
488
656.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3040
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3064
52.8 IPS |
|
|
Machine Translation (Q)
|
90% |
1868
32.5 IPS |
