CHUWI Innovation And Technology(ShenZhen)co.,Ltd LarkBox S
Geekbench AI Score
2632
Single Precision Score
3718
Half Precision Score
6035
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | December 24 2024 09:26 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 | CHUWI Innovation And Technology(ShenZhen)co.,Ltd LarkBox S |
| Motherboard | Default string Default string |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1220P |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1486
276.4 IPS |
|
|
Image Classification (HP)
|
100% |
2519
468.5 IPS |
|
|
Image Classification (Q)
|
99% |
3649
680.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2192
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3445
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4337
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5391
6.29 IPS |
|
|
Pose Estimation (HP)
|
99% |
3974
4.64 IPS |
|
|
Pose Estimation (Q)
|
97% |
17486
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (HP)
|
100% |
2427
192.5 IPS |
|
|
Object Detection (Q)
|
90% |
3570
285.4 IPS |
|
|
Face Detection (SP)
|
100% |
3512
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6488
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
10535
125.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5700
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9243
71.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
13427
106.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13964
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21488
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
38253
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2338
86.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3603
133.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7418
274.7 IPS |
|
|
Text Classification (SP)
|
71% |
980
1.42 KIPS |
|
|
Text Classification (HP)
|
71% |
1115
1.61 KIPS |
|
|
Text Classification (Q)
|
92% |
1113
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1166
20.2 IPS |
|
|
Machine Translation (Q)
|
89% |
1453
25.3 IPS |
