LENOVO 21MC003UUS
Geekbench AI Score
342
Single Precision Score
171
Half Precision Score
783
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 01:16 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 8840U w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21MC003UUS |
| Motherboard | LENOVO 21MC003UUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 8840U 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% |
265
49.2 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.4 IPS |
|
|
Image Classification (Q)
|
99% |
654
122.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
90
1.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
98
1.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
298
4.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
952
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
655
0.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
3076
3.61 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
82
6.50 IPS |
|
|
Object Detection (Q)
|
86% |
919
73.9 IPS |
|
|
Face Detection (SP)
|
100% |
461
5.48 IPS |
|
|
Face Detection (HP)
|
100% |
161
1.91 IPS |
|
|
Face Detection (Q)
|
97% |
1337
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
869
6.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
364
2.81 IPS |
|
|
Depth Estimation (Q)
|
78% |
2567
20.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2175
2.80 IPS |
|
|
Style Transfer (HP)
|
100% |
1485
1.91 IPS |
|
|
Style Transfer (Q)
|
98% |
1726
2.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
184
6.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
151
5.57 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
348
12.9 IPS |
|
|
Text Classification (SP)
|
100% |
174
231.8 IPS |
|
|
Text Classification (HP)
|
100% |
74
98.9 IPS |
|
|
Text Classification (Q)
|
97% |
277
370.9 IPS |
|
|
Machine Translation (SP)
|
100% |
147
2.52 IPS |
|
|
Machine Translation (HP)
|
100% |
59
1.02 IPS |
|
|
Machine Translation (Q)
|
65% |
277
5.57 IPS |
