Topton i7-1355U router PWR 20/30 Default string Default string
Geekbench AI Score
1318
Single Precision Score
1211
Half Precision Score
869
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | November 13 2024 12:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1355U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 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% |
866
161.0 IPS |
|
|
Image Classification (HP)
|
100% |
845
157.1 IPS |
|
|
Image Classification (Q)
|
99% |
559
104.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1236
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1150
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
711
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1646
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1092
1.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
1230
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
886
70.3 IPS |
|
|
Object Detection (HP)
|
100% |
949
75.2 IPS |
|
|
Object Detection (Q)
|
85% |
596
48.0 IPS |
|
|
Face Detection (SP)
|
100% |
1848
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
1625
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
1572
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1511
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1575
12.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1073
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2033
2.61 IPS |
|
|
Style Transfer (HP)
|
100% |
2049
2.63 IPS |
|
|
Style Transfer (Q)
|
98% |
2848
3.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
905
33.5 IPS |
|
|
Text Classification (SP)
|
100% |
1061
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1055
1.41 KIPS |
|
|
Text Classification (Q)
|
92% |
478
642.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1619
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1350
23.2 IPS |
|
|
Machine Translation (Q)
|
58% |
409
9.60 IPS |
