si-OpenVINO-IrisXe LENOVO 82Y1
Geekbench AI Score
3018
Single Precision Score
3755
Half Precision Score
5240
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | myi2000 |
| Upload Date | August 01 2025 09:19 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82Y1 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1553
288.9 IPS |
|
|
Image Classification (HP)
|
100% |
1725
320.8 IPS |
|
|
Image Classification (Q)
|
99% |
2090
389.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3477
56.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5557
90.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6194
100.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9592
11.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
7067
8.25 IPS |
|
|
Pose Estimation (Q)
|
97% |
26703
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
1777
140.9 IPS |
|
|
Object Detection (HP)
|
100% |
2314
183.5 IPS |
|
|
Object Detection (Q)
|
90% |
3015
241.1 IPS |
|
|
Face Detection (SP)
|
100% |
5130
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
7097
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
9932
118.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7717
59.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10052
77.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
12258
95.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23629
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29362
37.7 IPS |
|
|
Style Transfer (Q)
|
98% |
59446
76.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3005
111.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4372
161.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6235
230.9 IPS |
|
|
Text Classification (SP)
|
71% |
346
500.9 IPS |
|
|
Text Classification (HP)
|
71% |
398
576.1 IPS |
|
|
Text Classification (Q)
|
92% |
357
479.9 IPS |
|
|
Machine Translation (SP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (HP)
|
98% |
976
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
931
16.1 IPS |
