LENOVO 21FD000SCL
Geekbench AI Score
3776
Single Precision Score
1488
Half Precision Score
5737
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | lusafe |
| Upload Date | March 22 2025 09:16 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13800H |
| 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% |
2965
551.3 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.7 IPS |
|
|
Image Classification (Q)
|
99% |
5994
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1814
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1054
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3018
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6299
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3906
4.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
20630
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
2632
208.8 IPS |
|
|
Object Detection (HP)
|
100% |
763
60.6 IPS |
|
|
Object Detection (Q)
|
86% |
5519
443.5 IPS |
|
|
Face Detection (SP)
|
100% |
6261
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
1584
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
9182
109.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8293
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2092
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
14138
112.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14539
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9614
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18688
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2861
105.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1894
69.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4522
167.5 IPS |
|
|
Text Classification (SP)
|
100% |
1321
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
589
786.6 IPS |
|
|
Text Classification (Q)
|
97% |
580
776.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2321
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2948
59.2 IPS |
