LENOVO 21MC003UUS
Geekbench AI Score
2856
Single Precision Score
1333
Half Precision Score
5783
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 19 2025 02:22 AM |
| Views | 12 |
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 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2148
399.5 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.7 IPS |
|
|
Image Classification (Q)
|
99% |
7523
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1198
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3207
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4839
5.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3945
4.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
17759
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2029
161.0 IPS |
|
|
Object Detection (HP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (Q)
|
86% |
6016
483.5 IPS |
|
|
Face Detection (SP)
|
100% |
4880
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
9036
107.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5821
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1971
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6701
53.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10475
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8986
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22527
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1601
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2749
101.8 IPS |
|
|
Text Classification (SP)
|
100% |
1521
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
716
956.3 IPS |
|
|
Text Classification (Q)
|
97% |
1763
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1785
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2458
49.4 IPS |
