LENOVO 21D1
Geekbench AI Score
3779
Single Precision Score
4655
Half Precision Score
2964
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lionmini |
| Upload Date | February 20 2025 05:13 AM |
| Views | 4 |
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 21D1 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 6600U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1290
239.9 IPS |
|
|
Image Classification (HP)
|
100% |
1566
291.3 IPS |
|
|
Image Classification (Q)
|
100% |
1240
230.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1675
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1268
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16167
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
27386
32.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
13695
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (Q)
|
87% |
1385
111.3 IPS |
|
|
Face Detection (SP)
|
100% |
4348
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
5392
64.1 IPS |
|
|
Face Detection (Q)
|
97% |
3604
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8811
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10726
82.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
6967
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27699
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38518
49.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22634
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6405
236.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8863
327.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4366
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
1069
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1211
1.62 KIPS |
|
|
Text Classification (Q)
|
97% |
769
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1779
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1762
30.3 IPS |
|
|
Machine Translation (Q)
|
70% |
922
17.3 IPS |
