iPad16,8
Geekbench AI Score
5141
Single Precision Score
8448
Half Precision Score
6753
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | noteventhrice |
| Upload Date | April 05 2026 02:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPad16,8 |
| Model ID | iPad16,8 |
| Motherboard | J707AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 5 Cores |
| Memory Information | |
|---|---|
| Size | 11.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2095
389.6 IPS |
|
|
Image Classification (HP)
|
100% |
3394
631.1 IPS |
|
|
Image Classification (Q)
|
96% |
2321
433.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2200
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3168
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3520
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8658
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19504
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16675
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2681
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
4537
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
7687
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4395
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8117
62.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14024
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9851
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22928
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39277
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32148
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5352
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7232
267.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5013
185.1 IPS |
|
|
Text Classification (SP)
|
99% |
6556
8.75 KIPS |
|
|
Text Classification (HP)
|
99% |
9959
13.3 KIPS |
|
|
Text Classification (Q)
|
93% |
10215
13.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
4459
76.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7619
131.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7581
131.0 IPS |
