LENOVO 21LF
Geekbench AI Score
4027
Single Precision Score
1786
Half Precision Score
7070
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 11:22 AM |
| Views | 2 |
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% |
3646
678.1 IPS |
|
|
Image Classification (HP)
|
100% |
690
128.3 IPS |
|
|
Image Classification (Q)
|
99% |
8191
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
836
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3748
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6958
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
5919
6.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
25870
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
3291
261.0 IPS |
|
|
Object Detection (HP)
|
100% |
848
67.2 IPS |
|
|
Object Detection (Q)
|
86% |
7789
626.0 IPS |
|
|
Face Detection (SP)
|
100% |
6611
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
1862
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
11230
133.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9972
76.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2738
21.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7158
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15714
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14512
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30135
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2648
97.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2583
95.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3680
136.3 IPS |
|
|
Text Classification (SP)
|
100% |
1868
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1934
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2927
58.8 IPS |
