iPad14,4
Geekbench AI Score
3469
Single Precision Score
5972
Half Precision Score
4812
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | geckopelli |
| Upload Date | December 29 2024 11:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
2525
469.6 IPS |
|
|
Image Classification (Q)
|
96% |
1755
327.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2848
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6888
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14868
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12558
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
97% |
2851
227.0 IPS |
|
|
Object Detection (Q)
|
94% |
2056
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6137
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3553
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5688
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11575
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7988
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18896
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28895
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23656
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4766
176.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3589
132.5 IPS |
|
|
Text Classification (SP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3801
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3711
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3576
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5762
99.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5777
99.8 IPS |
