To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
61
Single Precision Score
60
Half Precision Score
43
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | p15x |
| Upload Date | January 08 2025 08:43 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2670 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock EP2C602-4L/D16 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2670 |
| Topology | 2 Processors, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
38
6.99 IPS |
|
|
Image Classification (HP)
|
100% |
37
6.92 IPS |
|
|
Image Classification (Q)
|
97% |
29
5.47 IPS |
|
|
Image Segmentation (SP)
|
100% |
53
0.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
52
0.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
38
0.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
63
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
61
0.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
49
0.06 IPS |
|
|
Object Detection (SP)
|
100% |
36
2.89 IPS |
|
|
Object Detection (HP)
|
100% |
37
2.91 IPS |
|
|
Object Detection (Q)
|
87% |
29
2.29 IPS |
|
|
Face Detection (SP)
|
100% |
127
1.50 IPS |
|
|
Face Detection (HP)
|
100% |
126
1.50 IPS |
|
|
Face Detection (Q)
|
97% |
87
1.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
80
0.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
87
0.67 IPS |
|
|
Depth Estimation (Q)
|
64% |
58
0.53 IPS |
|
|
Style Transfer (SP)
|
100% |
191
0.25 IPS |
|
|
Style Transfer (HP)
|
100% |
186
0.24 IPS |
|
|
Style Transfer (Q)
|
98% |
155
0.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41
1.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41
1.50 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
30
1.12 IPS |
|
|
Text Classification (SP)
|
100% |
36
48.7 IPS |
|
|
Text Classification (HP)
|
100% |
35
46.8 IPS |
|
|
Text Classification (Q)
|
91% |
24
32.2 IPS |
|
|
Machine Translation (SP)
|
100% |
58
0.99 IPS |
|
|
Machine Translation (HP)
|
100% |
50
0.86 IPS |
|
|
Machine Translation (Q)
|
58% |
27
0.65 IPS |
