iPad16,1
Geekbench AI Score
3845
Single Precision Score
6898
Half Precision Score
5682
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 03:00 AM |
| Views | 1 |
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 | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1617
300.6 IPS |
|
|
Image Classification (HP)
|
100% |
2942
547.1 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3067
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7308
8.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
15777
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13898
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1668
132.3 IPS |
|
|
Object Detection (HP)
|
97% |
3284
261.4 IPS |
|
|
Object Detection (Q)
|
94% |
2342
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6937
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
3875
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6725
51.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12864
99.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9021
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20239
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33066
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27347
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4539
167.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5584
206.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4334
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5549
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5481
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3470
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7470
129.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7600
131.3 IPS |
