LENOVO 21HJZAW1CN
Geekbench AI Score
2637
Single Precision Score
3947
Half Precision Score
6587
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 09:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1583
294.5 IPS |
|
|
Image Classification (HP)
|
100% |
2537
471.7 IPS |
|
|
Image Classification (Q)
|
99% |
4171
777.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3586
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4848
78.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6703
7.82 IPS |
|
|
Pose Estimation (HP)
|
99% |
5231
6.10 IPS |
|
|
Pose Estimation (Q)
|
97% |
23911
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (HP)
|
100% |
2511
199.1 IPS |
|
|
Object Detection (Q)
|
90% |
3827
306.0 IPS |
|
|
Face Detection (SP)
|
100% |
2507
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
5315
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
9216
109.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5612
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9882
76.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
14008
108.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16153
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27841
35.8 IPS |
|
|
Style Transfer (Q)
|
98% |
50048
64.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2646
97.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4311
159.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9179
339.9 IPS |
|
|
Text Classification (SP)
|
71% |
1033
1.49 KIPS |
|
|
Text Classification (HP)
|
71% |
1070
1.55 KIPS |
|
|
Text Classification (Q)
|
92% |
1233
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1139
19.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1137
19.6 IPS |
