To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
47
Single Precision Score
47
Half Precision Score
34
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | D3fc0n3-1 |
| Upload Date | April 09 2025 12:28 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2620 v2 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock EP2C602 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2620 v2 |
| Topology | 2 Processors, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 78.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
27
5.11 IPS |
|
|
Image Classification (HP)
|
100% |
28
5.12 IPS |
|
|
Image Classification (Q)
|
97% |
22
4.02 IPS |
|
|
Image Segmentation (SP)
|
100% |
40
0.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
39
0.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
28
0.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
47
0.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
47
0.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
38
0.04 IPS |
|
|
Object Detection (SP)
|
100% |
27
2.14 IPS |
|
|
Object Detection (HP)
|
100% |
27
2.15 IPS |
|
|
Object Detection (Q)
|
87% |
21
1.67 IPS |
|
|
Face Detection (SP)
|
100% |
90
1.07 IPS |
|
|
Face Detection (HP)
|
100% |
89
1.05 IPS |
|
|
Face Detection (Q)
|
97% |
66
0.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
66
0.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
66
0.51 IPS |
|
|
Depth Estimation (Q)
|
64% |
43
0.39 IPS |
|
|
Style Transfer (SP)
|
100% |
141
0.18 IPS |
|
|
Style Transfer (HP)
|
100% |
140
0.18 IPS |
|
|
Style Transfer (Q)
|
98% |
113
0.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30
1.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30
1.11 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
23
0.85 IPS |
|
|
Text Classification (SP)
|
100% |
33
43.8 IPS |
|
|
Text Classification (HP)
|
100% |
32
43.3 IPS |
|
|
Text Classification (Q)
|
91% |
22
30.0 IPS |
|
|
Machine Translation (SP)
|
100% |
56
0.97 IPS |
|
|
Machine Translation (HP)
|
100% |
57
0.98 IPS |
|
|
Machine Translation (Q)
|
58% |
27
0.66 IPS |
