LENOVO 21FBSAP100
Geekbench AI Score
1703
Single Precision Score
1737
Half Precision Score
1156
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 20 2025 06:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21FBSAP100 |
| Motherboard | LENOVO 21FBSAP100 |
| Power Plan | Advanced SystemCare Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13980HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 160.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
748
139.1 IPS |
|
|
Image Classification (HP)
|
100% |
760
141.3 IPS |
|
|
Image Classification (Q)
|
100% |
613
113.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1025
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1090
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
743
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5426
6.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
5424
6.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
3584
4.20 IPS |
|
|
Object Detection (SP)
|
100% |
788
62.5 IPS |
|
|
Object Detection (HP)
|
98% |
678
53.9 IPS |
|
|
Object Detection (Q)
|
86% |
674
54.1 IPS |
|
|
Face Detection (SP)
|
100% |
1700
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
1817
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
1264
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3151
24.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3424
26.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
2291
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11244
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15117
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
8396
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1920
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2642
97.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
975
36.1 IPS |
|
|
Text Classification (SP)
|
100% |
715
953.7 IPS |
|
|
Text Classification (HP)
|
100% |
457
609.5 IPS |
|
|
Text Classification (Q)
|
97% |
411
551.2 IPS |
|
|
Machine Translation (SP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
70% |
401
7.52 IPS |
