KubeVirt passthrough KubeVirt None
Geekbench AI Score
1063
Single Precision Score
1062
Half Precision Score
507
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | shubhamrajvanshi |
| Upload Date | November 10 2025 02:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | KubeVirt None |
| Motherboard | Red Hat RHEL |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
709
131.8 IPS |
|
|
Image Classification (HP)
|
100% |
719
133.8 IPS |
|
|
Image Classification (Q)
|
99% |
326
60.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
407
6.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
1306
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1306
1.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
1051
1.23 IPS |
|
|
Object Detection (SP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.9 IPS |
|
|
Object Detection (Q)
|
85% |
305
24.6 IPS |
|
|
Face Detection (SP)
|
100% |
1501
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1485
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
771
9.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
1363
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1359
10.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
727
6.82 IPS |
|
|
Style Transfer (SP)
|
100% |
1785
2.29 IPS |
|
|
Style Transfer (HP)
|
100% |
1787
2.30 IPS |
|
|
Style Transfer (Q)
|
98% |
2126
2.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
884
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
888
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
508
18.8 IPS |
|
|
Text Classification (SP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
844
1.13 KIPS |
|
|
Text Classification (Q)
|
92% |
187
251.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (Q)
|
58% |
236
5.55 IPS |
