LENOVO 21HJZAW1CN
Geekbench AI Score
1635
Single Precision Score
1683
Half Precision Score
3718
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 08:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-1335U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21HJZAW1CN |
| Motherboard | LENOVO 21HJZAW1CN |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1335U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1137
211.4 IPS |
|
|
Image Classification (HP)
|
100% |
1157
215.1 IPS |
|
|
Image Classification (Q)
|
100% |
2268
421.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2527
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1729
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1792
2.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
6565
7.69 IPS |
|
|
Object Detection (SP)
|
100% |
993
78.7 IPS |
|
|
Object Detection (HP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (Q)
|
88% |
1553
124.5 IPS |
|
|
Face Detection (SP)
|
100% |
1995
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
1937
23.0 IPS |
|
|
Face Detection (Q)
|
100% |
6148
73.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2069
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2748
21.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
6275
48.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5983
7.69 IPS |
|
|
Style Transfer (HP)
|
100% |
6272
8.06 IPS |
|
|
Style Transfer (Q)
|
98% |
21813
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1301
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1207
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4103
151.9 IPS |
|
|
Text Classification (SP)
|
100% |
1244
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1234
1.65 KIPS |
|
|
Text Classification (Q)
|
92% |
1861
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1322
22.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1347
23.2 IPS |
