LENOVO 21LF
Geekbench AI Score
1570
Single Precision Score
725
Half Precision Score
3434
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 12 2025 05:43 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845H w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | LENOVO 21LF |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845H w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1070
199.1 IPS |
|
|
Image Classification (HP)
|
100% |
270
50.3 IPS |
|
|
Image Classification (Q)
|
99% |
3000
559.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
364
5.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
3520
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2252
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2035
2.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
9463
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1176
93.3 IPS |
|
|
Object Detection (HP)
|
100% |
332
26.4 IPS |
|
|
Object Detection (Q)
|
86% |
3115
250.3 IPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
816
9.69 IPS |
|
|
Face Detection (Q)
|
97% |
4434
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3097
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1107
8.53 IPS |
|
|
Depth Estimation (Q)
|
78% |
3733
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5738
7.38 IPS |
|
|
Style Transfer (HP)
|
100% |
5247
6.74 IPS |
|
|
Style Transfer (Q)
|
98% |
15276
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
910
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2464
91.2 IPS |
|
|
Text Classification (SP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
366
489.0 IPS |
|
|
Text Classification (Q)
|
97% |
690
924.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
410
7.06 IPS |
|
|
Machine Translation (Q)
|
65% |
1707
34.3 IPS |
