LENOVO 21ME001EUS
Geekbench AI Score
4135
Single Precision Score
6831
Half Precision Score
3480
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 18 2025 04:48 PM |
| Views | 3 |
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 21ME001EUS |
| Motherboard | LENOVO 21ME001EUS |
| 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% |
1209
224.8 IPS |
|
|
Image Classification (HP)
|
100% |
1868
347.4 IPS |
|
|
Image Classification (Q)
|
100% |
1430
266.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3526
57.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1996
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18340
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
45874
53.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
17716
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1168
92.6 IPS |
|
|
Object Detection (HP)
|
100% |
2061
163.5 IPS |
|
|
Object Detection (Q)
|
87% |
1527
122.6 IPS |
|
|
Face Detection (SP)
|
100% |
3752
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
7145
84.9 IPS |
|
|
Face Detection (Q)
|
97% |
2933
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11969
92.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18757
144.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
8842
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33702
43.3 IPS |
|
|
Style Transfer (HP)
|
100% |
73316
94.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20643
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6102
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11754
434.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4518
167.3 IPS |
|
|
Text Classification (SP)
|
100% |
961
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1191
1.59 KIPS |
|
|
Text Classification (Q)
|
97% |
978
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2704
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2584
44.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1427
26.8 IPS |
