LENOVO 21MU
Geekbench AI Score
2114
Single Precision Score
1096
Half Precision Score
3482
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 04:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845H w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21MU |
| 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% |
1454
270.4 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.2 IPS |
|
|
Image Classification (Q)
|
99% |
5103
951.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
774
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
569
9.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
1542
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4289
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3131
3.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
15947
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
1163
92.3 IPS |
|
|
Object Detection (HP)
|
100% |
528
41.9 IPS |
|
|
Object Detection (Q)
|
86% |
3480
279.7 IPS |
|
|
Face Detection (SP)
|
100% |
3081
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
1270
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
4787
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4720
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1725
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5496
43.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9048
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8116
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17091
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1400
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1256
46.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2011
74.5 IPS |
|
|
Text Classification (SP)
|
100% |
1160
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
529
706.3 IPS |
|
|
Text Classification (Q)
|
97% |
331
442.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1489
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.52 IPS |
|
|
Machine Translation (Q)
|
65% |
2008
40.3 IPS |
