LENOVO 21MC003FTH
Geekbench AI Score
6743
Single Precision Score
9539
Half Precision Score
5282
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 24 2025 06:54 AM |
| Views | 1 |
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 21MC003FTH |
| Motherboard | LENOVO 21MC003FTH |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2664
495.5 IPS |
|
|
Image Classification (HP)
|
100% |
3546
659.4 IPS |
|
|
Image Classification (Q)
|
100% |
2351
437.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3600
58.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3804
61.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2936
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24834
29.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
57180
66.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
25905
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
3468
275.1 IPS |
|
|
Object Detection (Q)
|
87% |
2384
191.5 IPS |
|
|
Face Detection (SP)
|
100% |
5730
68.1 IPS |
|
|
Face Detection (HP)
|
100% |
10445
124.1 IPS |
|
|
Face Detection (Q)
|
97% |
4915
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15343
118.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21839
168.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
12516
100.4 IPS |
|
|
Style Transfer (SP)
|
100% |
55833
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
89126
114.6 IPS |
|
|
Style Transfer (Q)
|
98% |
39488
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11552
426.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16876
623.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7701
285.2 IPS |
|
|
Text Classification (SP)
|
100% |
2087
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2518
3.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1574
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2592
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2702
46.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1349
25.3 IPS |
