Topton i7-1355U router PWR 15/55 Default string Default string
Geekbench AI Score
622
Single Precision Score
624
Half Precision Score
551
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | August 22 2024 10:08 AM |
| Views | 46 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1355U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 94.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1081
201.1 IPS |
|
|
Image Classification (HP)
|
100% |
1095
203.6 IPS |
|
|
Image Classification (Q)
|
99% |
655
122.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
917
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
895
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
541
8.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
515
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
461
0.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
768
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
364
28.9 IPS |
|
|
Object Detection (HP)
|
100% |
346
27.4 IPS |
|
|
Object Detection (Q)
|
86% |
273
22.0 IPS |
|
|
Face Detection (SP)
|
100% |
681
8.09 IPS |
|
|
Face Detection (HP)
|
100% |
1037
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
941
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
640
4.93 IPS |
|
|
Depth Estimation (HP)
|
100% |
508
3.92 IPS |
|
|
Depth Estimation (Q)
|
74% |
709
5.76 IPS |
|
|
Style Transfer (SP)
|
100% |
800
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
860
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
1566
2.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
513
19.0 IPS |
|
|
Text Classification (SP)
|
100% |
920
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
737
983.8 IPS |
|
|
Text Classification (Q)
|
92% |
240
322.1 IPS |
|
|
Machine Translation (SP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.08 IPS |
|
|
Machine Translation (Q)
|
58% |
274
6.44 IPS |
