Default string Default string
Geekbench AI Score
4494
Single Precision Score
6080
Half Precision Score
9551
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | July 06 2025 12:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2732
508.0 IPS |
|
|
Image Classification (HP)
|
100% |
3705
689.1 IPS |
|
|
Image Classification (Q)
|
99% |
5175
965.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3979
64.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6251
101.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8059
131.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9860
11.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
7333
8.56 IPS |
|
|
Pose Estimation (Q)
|
97% |
29711
34.8 IPS |
|
|
Object Detection (SP)
|
100% |
2592
205.6 IPS |
|
|
Object Detection (HP)
|
100% |
3634
288.3 IPS |
|
|
Object Detection (Q)
|
90% |
5754
460.0 IPS |
|
|
Face Detection (SP)
|
100% |
7210
85.7 IPS |
|
|
Face Detection (HP)
|
100% |
10298
122.4 IPS |
|
|
Face Detection (Q)
|
100% |
16975
201.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9358
72.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
14225
109.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
19543
152.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23219
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34345
44.2 IPS |
|
|
Style Transfer (Q)
|
98% |
64270
82.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4064
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5986
221.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11547
427.6 IPS |
|
|
Text Classification (SP)
|
71% |
1256
1.82 KIPS |
|
|
Text Classification (HP)
|
71% |
1533
2.22 KIPS |
|
|
Text Classification (Q)
|
92% |
1501
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2426
41.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2399
41.5 IPS |
