LENOVO 21ME0014US
Geekbench AI Score
8142
Single Precision Score
11371
Half Precision Score
6060
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 07:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21ME0014US |
| Motherboard | LENOVO 21ME0014US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 8840HS w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3187
592.7 IPS |
|
|
Image Classification (HP)
|
100% |
4676
869.5 IPS |
|
|
Image Classification (Q)
|
100% |
3014
560.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4094
66.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4790
77.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3272
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
39534
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
65784
76.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29311
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
2856
226.6 IPS |
|
|
Object Detection (HP)
|
100% |
3963
314.4 IPS |
|
|
Object Detection (Q)
|
87% |
2588
207.8 IPS |
|
|
Face Detection (SP)
|
100% |
6190
73.5 IPS |
|
|
Face Detection (HP)
|
100% |
11152
132.5 IPS |
|
|
Face Detection (Q)
|
97% |
5072
60.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18415
141.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
26843
206.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
13809
110.7 IPS |
|
|
Style Transfer (SP)
|
100% |
67878
87.3 IPS |
|
|
Style Transfer (HP)
|
100% |
109562
140.8 IPS |
|
|
Style Transfer (Q)
|
98% |
46887
60.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13918
513.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19788
730.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9208
341.0 IPS |
|
|
Text Classification (SP)
|
100% |
2375
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1712
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3633
62.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1727
32.4 IPS |
