Apache Software Foundation CloudStack KVM Hypervisor
Geekbench AI Score
571
Single Precision Score
562
Half Precision Score
389
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Gebu8f |
| Upload Date | September 21 2025 02:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC Processor |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Apache Software Foundation CloudStack KVM Hypervisor |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | AMD EPYC Processor |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 2 |
| Base Frequency | 2.64 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
264
49.1 IPS |
|
|
Image Classification (HP)
|
100% |
281
52.2 IPS |
|
|
Image Classification (Q)
|
99% |
186
34.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
555
9.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
325
5.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
1103
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1120
1.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
809
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
301
23.8 IPS |
|
|
Object Detection (HP)
|
100% |
296
23.4 IPS |
|
|
Object Detection (Q)
|
85% |
220
17.7 IPS |
|
|
Face Detection (SP)
|
100% |
783
9.31 IPS |
|
|
Face Detection (HP)
|
100% |
733
8.70 IPS |
|
|
Face Detection (Q)
|
97% |
616
7.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
814
6.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
809
6.24 IPS |
|
|
Depth Estimation (Q)
|
63% |
516
4.83 IPS |
|
|
Style Transfer (SP)
|
100% |
1753
2.25 IPS |
|
|
Style Transfer (HP)
|
100% |
1732
2.23 IPS |
|
|
Style Transfer (Q)
|
98% |
1786
2.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
419
15.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
329
12.2 IPS |
|
|
Text Classification (SP)
|
100% |
214
286.1 IPS |
|
|
Text Classification (HP)
|
100% |
216
287.6 IPS |
|
|
Text Classification (Q)
|
92% |
158
211.9 IPS |
|
|
Machine Translation (SP)
|
100% |
569
9.80 IPS |
|
|
Machine Translation (HP)
|
100% |
564
9.72 IPS |
|
|
Machine Translation (Q)
|
58% |
253
5.94 IPS |
