Default string Default string
Geekbench AI Score
1475
Single Precision Score
1467
Half Precision Score
924
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | July 06 2025 12:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1355U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 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 | 93.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1231
228.9 IPS |
|
|
Image Classification (HP)
|
100% |
1180
219.5 IPS |
|
|
Image Classification (Q)
|
99% |
793
147.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1397
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
789
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1780
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1688
1.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
1584
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
975
77.4 IPS |
|
|
Object Detection (HP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (Q)
|
85% |
695
55.9 IPS |
|
|
Face Detection (SP)
|
100% |
1636
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
1715
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
1571
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1882
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1870
14.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1199
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2831
3.64 IPS |
|
|
Style Transfer (HP)
|
100% |
2779
3.57 IPS |
|
|
Style Transfer (Q)
|
98% |
3087
3.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1032
38.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
697
25.8 IPS |
|
|
Text Classification (SP)
|
100% |
1018
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
999
1.33 KIPS |
|
|
Text Classification (Q)
|
92% |
368
494.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1833
31.6 IPS |
|
|
Machine Translation (Q)
|
58% |
445
10.5 IPS |
