Default string Default string
Geekbench AI Score
2068
Single Precision Score
2095
Half Precision Score
4288
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | July 06 2025 12:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
1200
223.2 IPS |
|
|
Image Classification (HP)
|
100% |
1242
230.9 IPS |
|
|
Image Classification (Q)
|
100% |
2843
528.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2914
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2153
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2186
2.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
5612
6.57 IPS |
|
|
Object Detection (SP)
|
100% |
1198
95.0 IPS |
|
|
Object Detection (HP)
|
100% |
1225
97.1 IPS |
|
|
Object Detection (Q)
|
88% |
2937
235.4 IPS |
|
|
Face Detection (SP)
|
100% |
3648
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
3697
43.9 IPS |
|
|
Face Detection (Q)
|
100% |
7247
86.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2962
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3004
23.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
7200
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6503
8.36 IPS |
|
|
Style Transfer (HP)
|
100% |
6598
8.48 IPS |
|
|
Style Transfer (Q)
|
98% |
16521
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1373
50.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1414
52.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3517
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
1477
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
1392
1.86 KIPS |
|
|
Text Classification (Q)
|
92% |
2124
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2503
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2471
42.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2393
41.2 IPS |
