LENOVO 21F3S21G00
Geekbench AI Score
2424
Single Precision Score
3706
Half Precision Score
5667
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 06:13 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 21F3S21G00 |
| Motherboard | LENOVO 21F3S21G00 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1562
290.5 IPS |
|
|
Image Classification (HP)
|
100% |
2379
442.4 IPS |
|
|
Image Classification (Q)
|
99% |
3320
619.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4750
77.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5961
96.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3946
4.60 IPS |
|
|
Pose Estimation (HP)
|
99% |
3527
4.12 IPS |
|
|
Pose Estimation (Q)
|
97% |
12593
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (HP)
|
100% |
2362
187.4 IPS |
|
|
Object Detection (Q)
|
90% |
3806
304.3 IPS |
|
|
Face Detection (SP)
|
100% |
3954
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
6763
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
9420
111.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4671
36.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9285
71.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11241
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11035
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21053
27.1 IPS |
|
|
Style Transfer (Q)
|
98% |
40834
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2372
87.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3670
135.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7490
277.4 IPS |
|
|
Text Classification (SP)
|
71% |
711
1.03 KIPS |
|
|
Text Classification (HP)
|
71% |
916
1.32 KIPS |
|
|
Text Classification (Q)
|
92% |
946
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1171
20.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1176
20.3 IPS |
