LENOVO 21KJ
Geekbench AI Score
2293
Single Precision Score
2853
Half Precision Score
1692
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | SyameimaruKoa |
| Upload Date | October 19 2024 05:59 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21KJ |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7530U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
938
174.4 IPS |
|
|
Image Classification (HP)
|
100% |
1062
197.5 IPS |
|
|
Image Classification (Q)
|
99% |
804
149.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1241
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
946
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7448
8.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
13035
15.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
6647
7.78 IPS |
|
|
Object Detection (SP)
|
100% |
1076
85.4 IPS |
|
|
Object Detection (HP)
|
100% |
1155
91.6 IPS |
|
|
Object Detection (Q)
|
89% |
820
65.6 IPS |
|
|
Face Detection (SP)
|
100% |
2370
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
2904
34.5 IPS |
|
|
Face Detection (Q)
|
97% |
1839
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4976
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6714
51.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
3822
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12963
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20353
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
11402
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3362
124.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4403
162.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2248
83.2 IPS |
|
|
Text Classification (SP)
|
100% |
753
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
496
664.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (Q)
|
60% |
522
11.8 IPS |
