iPad16,1
Geekbench AI Score
3970
Single Precision Score
6980
Half Precision Score
5709
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 19 2025 12:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1739
323.3 IPS |
|
|
Image Classification (HP)
|
100% |
2977
553.7 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3070
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7759
9.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
16144
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13851
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1793
142.2 IPS |
|
|
Object Detection (HP)
|
97% |
3346
266.4 IPS |
|
|
Object Detection (Q)
|
94% |
2396
191.0 IPS |
|
|
Face Detection (SP)
|
100% |
3187
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6921
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
3849
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6819
52.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13059
100.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9040
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20895
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33767
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27492
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4814
177.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5766
212.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4458
164.6 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5696
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5698
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3496
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7215
124.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7288
125.9 IPS |
