LENOVO 21KK
Geekbench AI Score
1613
Single Precision Score
785
Half Precision Score
2869
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 08:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7730U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7730U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1227
228.2 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.3 IPS |
|
|
Image Classification (Q)
|
96% |
3702
691.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
97% |
3356
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2365
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2109
2.46 IPS |
|
|
Pose Estimation (Q)
|
86% |
6079
7.19 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.5 IPS |
|
|
Object Detection (HP)
|
100% |
400
31.8 IPS |
|
|
Object Detection (Q)
|
58% |
1430
156.2 IPS |
|
|
Face Detection (SP)
|
100% |
1958
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
796
9.46 IPS |
|
|
Face Detection (Q)
|
96% |
3893
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3428
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1179
9.08 IPS |
|
|
Depth Estimation (Q)
|
78% |
5125
40.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6679
8.59 IPS |
|
|
Style Transfer (HP)
|
100% |
5197
6.68 IPS |
|
|
Style Transfer (Q)
|
87% |
7624
9.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
910
33.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1957
72.5 IPS |
|
|
Text Classification (SP)
|
100% |
914
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
484
646.4 IPS |
|
|
Text Classification (Q)
|
97% |
739
989.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.73 IPS |
|
|
Machine Translation (Q)
|
68% |
1594
30.8 IPS |
