Red Hat KVM
Geekbench AI Score
732
Single Precision Score
353
Half Precision Score
1051
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | DeltaKilo |
| Upload Date | August 25 2024 03:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
443
82.5 IPS |
|
|
Image Classification (HP)
|
100% |
139
25.9 IPS |
|
|
Image Classification (Q)
|
94% |
776
145.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
493
7.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
752
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
830
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
679
0.79 IPS |
|
|
Pose Estimation (Q)
|
87% |
1718
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
442
35.0 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
86% |
563
45.2 IPS |
|
|
Face Detection (SP)
|
100% |
1008
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
224
2.66 IPS |
|
|
Face Detection (Q)
|
96% |
1483
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1172
9.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
522
4.02 IPS |
|
|
Depth Estimation (Q)
|
76% |
1253
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2235
2.87 IPS |
|
|
Style Transfer (HP)
|
100% |
1795
2.31 IPS |
|
|
Style Transfer (Q)
|
87% |
3416
4.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
444
16.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
915
33.9 IPS |
|
|
Text Classification (SP)
|
100% |
597
797.0 IPS |
|
|
Text Classification (HP)
|
100% |
388
518.0 IPS |
|
|
Text Classification (Q)
|
97% |
660
884.3 IPS |
|
|
Machine Translation (SP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (Q)
|
60% |
765
17.1 IPS |
