Lenovo Xiaoxin 16c AHP10 LENOVO 83KB
Geekbench AI Score
8004
Single Precision Score
12197
Half Precision Score
5774
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | May 08 2025 01:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise Insider Preview (64-bit) |
| Model | LENOVO 83KB |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8745HS 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3210
597.0 IPS |
|
|
Image Classification (HP)
|
100% |
4858
903.5 IPS |
|
|
Image Classification (Q)
|
100% |
2898
538.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3943
63.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4807
77.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3208
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37549
43.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
73889
86.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
28828
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
2554
202.6 IPS |
|
|
Object Detection (HP)
|
100% |
3950
313.3 IPS |
|
|
Object Detection (Q)
|
87% |
2391
192.0 IPS |
|
|
Face Detection (SP)
|
100% |
5831
69.3 IPS |
|
|
Face Detection (HP)
|
100% |
10779
128.1 IPS |
|
|
Face Detection (Q)
|
97% |
4867
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17370
133.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
29022
223.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13372
107.2 IPS |
|
|
Style Transfer (SP)
|
100% |
70600
90.8 IPS |
|
|
Style Transfer (HP)
|
100% |
112757
145.0 IPS |
|
|
Style Transfer (Q)
|
98% |
43424
56.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14087
520.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23967
885.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8013
296.7 IPS |
|
|
Text Classification (SP)
|
100% |
2563
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1752
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3447
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3739
64.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1622
30.4 IPS |
