Default string Default string
Geekbench AI Score
1267
Single Precision Score
1181
Half Precision Score
804
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | April 20 2025 09:58 AM |
| Views | 4 |
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 | 94.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
873
162.3 IPS |
|
|
Image Classification (HP)
|
100% |
865
160.9 IPS |
|
|
Image Classification (Q)
|
99% |
546
101.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
627
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1665
1.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
1097
1.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
1185
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
892
70.7 IPS |
|
|
Object Detection (HP)
|
100% |
870
69.0 IPS |
|
|
Object Detection (Q)
|
85% |
615
49.5 IPS |
|
|
Face Detection (SP)
|
100% |
1861
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
1342
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
1515
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1663
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1589
12.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1106
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2077
2.67 IPS |
|
|
Style Transfer (HP)
|
100% |
1990
2.56 IPS |
|
|
Style Transfer (Q)
|
98% |
2812
3.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
899
33.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
907
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
714
26.5 IPS |
|
|
Text Classification (SP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
925
1.23 KIPS |
|
|
Text Classification (Q)
|
92% |
337
452.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1574
27.1 IPS |
|
|
Machine Translation (Q)
|
58% |
401
9.41 IPS |
