iPad16,1
Geekbench AI Score
3859
Single Precision Score
7089
Half Precision Score
5711
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | homee313 |
| Upload Date | November 12 2025 11:23 PM |
| Views | 3 |
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% |
1613
299.9 IPS |
|
|
Image Classification (HP)
|
100% |
2981
554.3 IPS |
|
|
Image Classification (Q)
|
96% |
2026
378.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1629
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3069
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7256
8.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
15877
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13832
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.3 IPS |
|
|
Object Detection (HP)
|
97% |
3308
263.4 IPS |
|
|
Object Detection (Q)
|
94% |
2360
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6938
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
3891
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6727
51.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12857
99.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9021
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20946
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33756
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27460
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4678
172.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6163
227.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4482
165.5 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5771
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5571
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3384
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7565
130.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7556
130.6 IPS |
