Intel X99
Geekbench AI Score
38
Single Precision Score
39
Half Precision Score
27
Quantized Score
Geekbench AI 1.1.0 for Linux x86 (64-bit)
Result Information
| User | TiggerTH |
| Upload Date | October 19 2024 04:16 PM |
| Views | 16 |
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% |
22
4.14 IPS |
|
|
Image Classification (HP)
|
100% |
22
4.15 IPS |
|
|
Image Classification (Q)
|
97% |
17
3.24 IPS |
|
|
Image Segmentation (SP)
|
100% |
31
0.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
31
0.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
23
0.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
36
0.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
36
0.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
29
0.03 IPS |
|
|
Object Detection (SP)
|
100% |
22
1.72 IPS |
|
|
Object Detection (HP)
|
100% |
22
1.72 IPS |
|
|
Object Detection (Q)
|
87% |
16
1.32 IPS |
|
|
Face Detection (SP)
|
100% |
74
0.88 IPS |
|
|
Face Detection (HP)
|
100% |
74
0.88 IPS |
|
|
Face Detection (Q)
|
97% |
55
0.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
52
0.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
52
0.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
34
0.31 IPS |
|
|
Style Transfer (SP)
|
100% |
109
0.14 IPS |
|
|
Style Transfer (HP)
|
100% |
109
0.14 IPS |
|
|
Style Transfer (Q)
|
98% |
87
0.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23
0.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23
0.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18
0.67 IPS |
|
|
Text Classification (SP)
|
100% |
28
37.7 IPS |
|
|
Text Classification (HP)
|
100% |
29
39.0 IPS |
|
|
Text Classification (Q)
|
91% |
20
26.7 IPS |
|
|
Machine Translation (SP)
|
100% |
54
0.94 IPS |
|
|
Machine Translation (HP)
|
100% |
54
0.93 IPS |
|
|
Machine Translation (Q)
|
58% |
27
0.65 IPS |
