iPad16,8
Geekbench AI Score
9807
Single Precision Score
11549
Half Precision Score
10475
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | noteventhrice |
| Upload Date | April 05 2026 02:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4464
830.1 IPS |
|
|
Image Classification (HP)
|
100% |
4714
876.7 IPS |
|
|
Image Classification (Q)
|
96% |
4483
837.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6824
110.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7428
120.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7057
114.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24701
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
27851
32.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
27176
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
4625
366.8 IPS |
|
|
Object Detection (HP)
|
100% |
5063
401.6 IPS |
|
|
Object Detection (Q)
|
91% |
4884
390.3 IPS |
|
|
Face Detection (SP)
|
100% |
12753
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
16451
195.5 IPS |
|
|
Face Detection (Q)
|
100% |
14603
173.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14337
110.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17790
137.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
17292
135.3 IPS |
|
|
Style Transfer (SP)
|
100% |
39417
50.7 IPS |
|
|
Style Transfer (HP)
|
100% |
51692
66.5 IPS |
|
|
Style Transfer (Q)
|
96% |
51522
66.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9547
352.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10589
391.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9230
340.8 IPS |
|
|
Text Classification (SP)
|
99% |
6912
9.23 KIPS |
|
|
Text Classification (HP)
|
99% |
9869
13.2 KIPS |
|
|
Text Classification (Q)
|
92% |
9923
13.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
4977
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5412
93.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3180
55.0 IPS |
