Red Hat KVM
Geekbench AI Score
809
Single Precision Score
810
Half Precision Score
1510
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | DeltaKilo |
| Upload Date | August 25 2024 04:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| Model | Red Hat KVM |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 1 Core |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.39 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 3.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
475
88.4 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.3 IPS |
|
|
Image Classification (Q)
|
100% |
867
161.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
448
7.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
519
8.42 IPS |
|
|
Image Segmentation (Q)
|
99% |
853
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
804
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
775
0.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
1795
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
499
39.6 IPS |
|
|
Object Detection (HP)
|
100% |
486
38.6 IPS |
|
|
Object Detection (Q)
|
87% |
875
70.2 IPS |
|
|
Face Detection (SP)
|
100% |
1233
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
2159
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1292
9.95 IPS |
|
|
Depth Estimation (HP)
|
100% |
1239
9.55 IPS |
|
|
Depth Estimation (Q)
|
79% |
2298
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2371
3.05 IPS |
|
|
Style Transfer (HP)
|
100% |
2392
3.08 IPS |
|
|
Style Transfer (Q)
|
98% |
5291
6.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
551
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
556
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1140
42.2 IPS |
|
|
Text Classification (SP)
|
100% |
671
895.3 IPS |
|
|
Text Classification (HP)
|
100% |
593
792.0 IPS |
|
|
Text Classification (Q)
|
91% |
960
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (Q)
|
90% |
1851
32.2 IPS |
