Default string Default string
Geekbench AI Score
1959
Single Precision Score
1876
Half Precision Score
3832
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | April 20 2025 10:22 AM |
| 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 | 94.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1141
212.2 IPS |
|
|
Image Classification (HP)
|
100% |
1145
213.0 IPS |
|
|
Image Classification (Q)
|
100% |
2573
478.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2640
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2272
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1776
2.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
5342
6.26 IPS |
|
|
Object Detection (SP)
|
100% |
1125
89.2 IPS |
|
|
Object Detection (HP)
|
100% |
1128
89.4 IPS |
|
|
Object Detection (Q)
|
88% |
2552
204.6 IPS |
|
|
Face Detection (SP)
|
100% |
3316
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
2781
33.0 IPS |
|
|
Face Detection (Q)
|
100% |
6399
76.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2723
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2770
21.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
6361
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6421
8.25 IPS |
|
|
Style Transfer (HP)
|
100% |
6515
8.37 IPS |
|
|
Style Transfer (Q)
|
98% |
15385
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1295
47.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1306
48.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3217
119.1 IPS |
|
|
Text Classification (SP)
|
100% |
1266
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1184
1.58 KIPS |
|
|
Text Classification (Q)
|
92% |
1764
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2158
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2105
36.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2078
35.8 IPS |
