Topton i7-1355U Default string Default string
Geekbench AI Score
1273
Single Precision Score
1240
Half Precision Score
846
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | January 02 2025 11:30 AM |
| Views | 21 |
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% |
863
160.6 IPS |
|
|
Image Classification (HP)
|
100% |
856
159.3 IPS |
|
|
Image Classification (Q)
|
99% |
560
104.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
707
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1658
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1074
1.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
1241
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
890
70.6 IPS |
|
|
Object Detection (HP)
|
100% |
899
71.3 IPS |
|
|
Object Detection (Q)
|
85% |
586
47.1 IPS |
|
|
Face Detection (SP)
|
100% |
1861
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
1690
20.1 IPS |
|
|
Face Detection (Q)
|
97% |
1570
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1552
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1540
11.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1038
9.73 IPS |
|
|
Style Transfer (SP)
|
100% |
1991
2.56 IPS |
|
|
Style Transfer (HP)
|
100% |
2079
2.67 IPS |
|
|
Style Transfer (Q)
|
98% |
2828
3.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1063
39.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
743
27.5 IPS |
|
|
Text Classification (SP)
|
100% |
923
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (Q)
|
92% |
477
640.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1387
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1583
27.3 IPS |
|
|
Machine Translation (Q)
|
58% |
400
9.39 IPS |
