iPad16,1
Geekbench AI Score
3841
Single Precision Score
6934
Half Precision Score
5688
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 03:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1602
297.8 IPS |
|
|
Image Classification (HP)
|
100% |
2950
548.7 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3051
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7362
8.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
16178
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13936
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1661
131.7 IPS |
|
|
Object Detection (HP)
|
97% |
3288
261.8 IPS |
|
|
Object Detection (Q)
|
94% |
2364
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3160
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6947
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
3890
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6666
51.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12842
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8996
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20866
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33557
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27562
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4652
171.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5636
208.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4385
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5397
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5406
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7594
131.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7595
131.2 IPS |
