LENOVO 21CFCTO1WW
Geekbench AI Score
5878
Single Precision Score
7821
Half Precision Score
4604
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 06:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21CFCTO1WW |
| Motherboard | LENOVO 21CFCTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 6850U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2009
373.7 IPS |
|
|
Image Classification (HP)
|
100% |
2678
498.1 IPS |
|
|
Image Classification (Q)
|
100% |
1990
370.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3554
57.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3204
51.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2939
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23839
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
43889
51.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
20391
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.0 IPS |
|
|
Object Detection (HP)
|
100% |
2916
231.3 IPS |
|
|
Object Detection (Q)
|
87% |
2149
172.6 IPS |
|
|
Face Detection (SP)
|
100% |
5074
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
8078
96.0 IPS |
|
|
Face Detection (Q)
|
97% |
4305
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13078
100.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18045
139.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
10541
84.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44161
56.8 IPS |
|
|
Style Transfer (HP)
|
100% |
69511
89.4 IPS |
|
|
Style Transfer (Q)
|
98% |
35699
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9632
355.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12738
470.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6702
248.2 IPS |
|
|
Text Classification (SP)
|
100% |
1510
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1998
2.67 KIPS |
|
|
Text Classification (Q)
|
97% |
1093
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2822
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3026
52.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1410
26.4 IPS |
