Default string Default string
Geekbench AI Score
847
Single Precision Score
767
Half Precision Score
638
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | November 13 2024 12:16 PM |
| Views | 14 |
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% |
989
184.0 IPS |
|
|
Image Classification (HP)
|
100% |
1061
197.4 IPS |
|
|
Image Classification (Q)
|
99% |
675
125.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
710
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
529
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
547
0.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
798
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (HP)
|
100% |
640
50.8 IPS |
|
|
Object Detection (Q)
|
85% |
430
34.6 IPS |
|
|
Face Detection (SP)
|
100% |
1375
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
834
9.91 IPS |
|
|
Face Detection (Q)
|
97% |
1034
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
739
5.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
713
5.49 IPS |
|
|
Depth Estimation (Q)
|
63% |
632
5.92 IPS |
|
|
Style Transfer (SP)
|
100% |
972
1.25 IPS |
|
|
Style Transfer (HP)
|
100% |
936
1.20 IPS |
|
|
Style Transfer (Q)
|
98% |
1767
2.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
546
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
620
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
1051
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
923
1.23 KIPS |
|
|
Text Classification (Q)
|
92% |
335
450.2 IPS |
|
|
Machine Translation (SP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
58% |
286
6.72 IPS |
