LENOVO 21HJZAW1CN
Geekbench AI Score
2662
Single Precision Score
3951
Half Precision Score
6391
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 09:07 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% |
1625
302.1 IPS |
|
|
Image Classification (HP)
|
100% |
2609
485.2 IPS |
|
|
Image Classification (Q)
|
99% |
4284
799.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2001
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3636
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4854
78.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6810
7.95 IPS |
|
|
Pose Estimation (HP)
|
99% |
5237
6.11 IPS |
|
|
Pose Estimation (Q)
|
97% |
24081
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
1743
138.3 IPS |
|
|
Object Detection (HP)
|
100% |
2604
206.5 IPS |
|
|
Object Detection (Q)
|
90% |
3938
314.9 IPS |
|
|
Face Detection (SP)
|
100% |
2566
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
5595
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
9905
117.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5747
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10182
78.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
13961
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16274
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27389
35.2 IPS |
|
|
Style Transfer (Q)
|
98% |
50598
65.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2615
96.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4156
153.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6619
245.1 IPS |
|
|
Text Classification (SP)
|
71% |
984
1.42 KIPS |
|
|
Text Classification (HP)
|
71% |
1121
1.62 KIPS |
|
|
Text Classification (Q)
|
92% |
1124
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (HP)
|
96% |
986
17.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1109
19.1 IPS |
