ADLINK Technology Inc. cExpress-TL
Geekbench AI Score
162
Single Precision Score
183
Half Precision Score
101
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| Upload Date | August 17 2024 11:50 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1185GRE |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | ADLINK Technology Inc. cExpress-TL |
| Motherboard | ADLINK Technology Inc. cExpress-TL |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185GRE |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
511
95.0 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.1 IPS |
|
|
Image Classification (Q)
|
99% |
62
11.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
143
2.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
353
5.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
99
1.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
285
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
239
0.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
229
0.27 IPS |
|
|
Object Detection (SP)
|
100% |
55
4.34 IPS |
|
|
Object Detection (HP)
|
100% |
61
4.81 IPS |
|
|
Object Detection (Q)
|
86% |
48
3.85 IPS |
|
|
Face Detection (SP)
|
100% |
192
2.28 IPS |
|
|
Face Detection (HP)
|
100% |
194
2.30 IPS |
|
|
Face Detection (Q)
|
97% |
150
1.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
201
1.55 IPS |
|
|
Depth Estimation (HP)
|
100% |
213
1.64 IPS |
|
|
Depth Estimation (Q)
|
74% |
161
1.31 IPS |
|
|
Style Transfer (SP)
|
100% |
520
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
484
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
560
0.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
102
3.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
102
3.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
97
3.59 IPS |
|
|
Text Classification (SP)
|
100% |
68
90.4 IPS |
|
|
Text Classification (HP)
|
100% |
119
159.1 IPS |
|
|
Text Classification (Q)
|
92% |
31
41.7 IPS |
|
|
Machine Translation (SP)
|
100% |
80
1.38 IPS |
|
|
Machine Translation (HP)
|
100% |
68
1.17 IPS |
|
|
Machine Translation (Q)
|
58% |
44
1.04 IPS |
