Topton i7-1355U router PWR 32/42 T=90 Default string Default string
Geekbench AI Score
1519
Single Precision Score
1532
Half Precision Score
964
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | August 22 2024 09:47 AM |
| Views | 8 |
| Notes | PKG Limit #1: ENabled (32.000 Watts, 28.000000 sec, clamp ENabled) PKG Limit #2: ENabled (42.000 Watts, 0.002441* sec, clamp DISabled) TEMPERATURE_TARGET: 0x8a640000 (90 C) (100 default - 10 offset) |
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% |
1005
186.8 IPS |
|
|
Image Classification (HP)
|
100% |
1003
186.5 IPS |
|
|
Image Classification (Q)
|
99% |
554
103.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
696
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1941
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1935
2.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
1665
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
1113
88.3 IPS |
|
|
Object Detection (HP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (Q)
|
86% |
703
56.6 IPS |
|
|
Face Detection (SP)
|
100% |
2106
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2110
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
1607
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2030
15.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
2023
15.6 IPS |
|
|
Depth Estimation (Q)
|
74% |
1439
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2973
3.82 IPS |
|
|
Style Transfer (HP)
|
100% |
3082
3.96 IPS |
|
|
Style Transfer (Q)
|
98% |
3655
4.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1053
38.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1265
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
913
33.8 IPS |
|
|
Text Classification (SP)
|
100% |
992
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (Q)
|
92% |
456
613.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1853
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (Q)
|
58% |
439
10.3 IPS |
