LENOVO 21EYS3YR00
Geekbench AI Score
3179
Single Precision Score
4424
Half Precision Score
7047
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 07:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21EYS3YR00 |
| Motherboard | LENOVO 21EYS3YR00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1345U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2211
411.3 IPS |
|
|
Image Classification (HP)
|
100% |
3322
617.8 IPS |
|
|
Image Classification (Q)
|
99% |
4648
866.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3224
52.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5073
82.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7010
113.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5642
6.58 IPS |
|
|
Pose Estimation (HP)
|
99% |
4631
5.40 IPS |
|
|
Pose Estimation (Q)
|
97% |
21451
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
1815
144.0 IPS |
|
|
Object Detection (HP)
|
100% |
2739
217.2 IPS |
|
|
Object Detection (Q)
|
90% |
4311
344.7 IPS |
|
|
Face Detection (SP)
|
100% |
5324
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
7724
91.8 IPS |
|
|
Face Detection (Q)
|
100% |
11416
135.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6113
47.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10542
81.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
14224
110.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16143
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25972
33.4 IPS |
|
|
Style Transfer (Q)
|
98% |
51796
66.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2818
104.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4242
156.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8754
324.2 IPS |
|
|
Text Classification (SP)
|
71% |
1002
1.45 KIPS |
|
|
Text Classification (HP)
|
71% |
1136
1.64 KIPS |
|
|
Text Classification (Q)
|
92% |
1045
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1320
22.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1304
22.5 IPS |
