Intel X99
Geekbench AI Score
935
Single Precision Score
928
Half Precision Score
633
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | TiggerTH |
| Upload Date | October 11 2024 01:19 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2630 v3 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Intel X99 |
| Motherboard | Intel X99H |
| 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% |
880
163.6 IPS |
|
|
Image Classification (HP)
|
100% |
795
147.8 IPS |
|
|
Image Classification (Q)
|
99% |
473
88.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
981
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1072
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
501
8.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
1043
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1051
1.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
1342
1.57 IPS |
|
|
Object Detection (SP)
|
100% |
869
69.0 IPS |
|
|
Object Detection (HP)
|
100% |
815
64.7 IPS |
|
|
Object Detection (Q)
|
85% |
482
38.8 IPS |
|
|
Face Detection (SP)
|
100% |
928
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
998
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
972
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
941
7.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
787
6.07 IPS |
|
|
Depth Estimation (Q)
|
63% |
704
6.60 IPS |
|
|
Style Transfer (SP)
|
100% |
1013
1.30 IPS |
|
|
Style Transfer (HP)
|
100% |
1053
1.35 IPS |
|
|
Style Transfer (Q)
|
98% |
2305
2.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
841
31.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
883
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
619
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
970
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (Q)
|
92% |
288
386.8 IPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
903
15.5 IPS |
|
|
Machine Translation (Q)
|
58% |
242
5.68 IPS |
