iPad16,1
Geekbench AI Score
3934
Single Precision Score
6898
Half Precision Score
5672
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Walkir |
| Upload Date | July 10 2025 07:06 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1696
315.3 IPS |
|
|
Image Classification (HP)
|
100% |
2981
554.4 IPS |
|
|
Image Classification (Q)
|
96% |
2035
380.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3056
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7591
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
15647
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13559
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1760
139.6 IPS |
|
|
Object Detection (HP)
|
97% |
3283
261.4 IPS |
|
|
Object Detection (Q)
|
94% |
2368
188.8 IPS |
|
|
Face Detection (SP)
|
100% |
3281
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6911
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
3815
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6722
51.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12725
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8904
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20589
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33603
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27329
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4711
173.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5631
207.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4385
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5500
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5559
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7490
129.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7630
131.9 IPS |
