Red Hat KVM
Geekbench AI Score
485
Single Precision Score
498
Half Precision Score
297
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | DeltaKilo |
| Upload Date | August 25 2024 03:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| 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% |
349
64.9 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.3 IPS |
|
|
Image Classification (Q)
|
99% |
168
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
455
7.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
225
3.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
481
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
464
0.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
353
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
351
27.9 IPS |
|
|
Object Detection (HP)
|
100% |
361
28.6 IPS |
|
|
Object Detection (Q)
|
86% |
177
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
676
8.03 IPS |
|
|
Face Detection (HP)
|
100% |
716
8.51 IPS |
|
|
Face Detection (Q)
|
97% |
476
5.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
567
4.37 IPS |
|
|
Depth Estimation (HP)
|
100% |
544
4.19 IPS |
|
|
Depth Estimation (Q)
|
74% |
412
3.35 IPS |
|
|
Style Transfer (SP)
|
100% |
851
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
828
1.06 IPS |
|
|
Style Transfer (Q)
|
98% |
871
1.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
347
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
334
12.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
227
8.40 IPS |
|
|
Text Classification (SP)
|
100% |
471
628.4 IPS |
|
|
Text Classification (HP)
|
100% |
590
787.5 IPS |
|
|
Text Classification (Q)
|
92% |
244
328.2 IPS |
|
|
Machine Translation (SP)
|
100% |
574
9.88 IPS |
|
|
Machine Translation (HP)
|
100% |
562
9.69 IPS |
|
|
Machine Translation (Q)
|
58% |
245
5.75 IPS |
