LENOVO 21FD000SCL
Geekbench AI Score
5081
Single Precision Score
7031
Half Precision Score
10844
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | lusafe |
| Upload Date | March 22 2025 09:31 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21FD000SCL |
| Motherboard | LENOVO 21FD000SCL |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3204
595.9 IPS |
|
|
Image Classification (HP)
|
100% |
5075
943.9 IPS |
|
|
Image Classification (Q)
|
99% |
6507
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4685
76.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7593
123.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8871
143.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11501
13.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
8450
9.86 IPS |
|
|
Pose Estimation (Q)
|
97% |
34736
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3007
238.5 IPS |
|
|
Object Detection (HP)
|
100% |
4532
359.4 IPS |
|
|
Object Detection (Q)
|
90% |
7581
606.1 IPS |
|
|
Face Detection (SP)
|
100% |
6913
82.1 IPS |
|
|
Face Detection (HP)
|
100% |
11870
141.0 IPS |
|
|
Face Detection (Q)
|
100% |
17253
205.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11095
85.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
16795
129.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
21946
170.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28680
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39133
50.3 IPS |
|
|
Style Transfer (Q)
|
98% |
78123
100.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4749
175.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7697
284.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13949
516.6 IPS |
|
|
Text Classification (SP)
|
71% |
1345
1.95 KIPS |
|
|
Text Classification (HP)
|
71% |
1532
2.22 KIPS |
|
|
Text Classification (Q)
|
92% |
1637
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2177
37.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2192
37.8 IPS |
