iPad16,1
Geekbench AI Score
3870
Single Precision Score
26335
Half Precision Score
36195
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 11:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1601
297.7 IPS |
|
|
Image Classification (HP)
|
100% |
10665
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
15250
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16420
266.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21404
347.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7305
8.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
106477
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
204345
239.5 IPS |
|
|
Object Detection (SP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (HP)
|
100% |
13561
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
17469
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
34637
411.6 IPS |
|
|
Face Detection (Q)
|
100% |
47859
568.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6804
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78144
602.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
125232
979.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20996
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203565
261.7 IPS |
|
|
Style Transfer (Q)
|
96% |
247572
319.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4749
175.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34431
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57469
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5369
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5411
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6232
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7179
124.1 IPS |
