Default string Default string
Geekbench AI Score
873
Single Precision Score
904
Half Precision Score
592
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | December 27 2024 07:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2630 v3 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| Model | Default string Default string |
| Motherboard | Default string X99 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2630 v3 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
695
129.2 IPS |
|
|
Image Classification (HP)
|
100% |
774
143.9 IPS |
|
|
Image Classification (Q)
|
99% |
397
74.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
955
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
423
6.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
1030
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1043
1.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
1266
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
785
62.3 IPS |
|
|
Object Detection (HP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (Q)
|
85% |
435
35.0 IPS |
|
|
Face Detection (SP)
|
100% |
902
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
895
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
928
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
945
7.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
978
7.54 IPS |
|
|
Depth Estimation (Q)
|
63% |
844
7.92 IPS |
|
|
Style Transfer (SP)
|
100% |
1061
1.36 IPS |
|
|
Style Transfer (HP)
|
100% |
1035
1.33 IPS |
|
|
Style Transfer (Q)
|
98% |
2154
2.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
838
31.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
843
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
604
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
903
1.21 KIPS |
|
|
Text Classification (Q)
|
92% |
266
357.6 IPS |
|
|
Machine Translation (SP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (Q)
|
58% |
214
5.03 IPS |
