iPad16,8
Geekbench AI Score
10607
Single Precision Score
12160
Half Precision Score
10906
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | vanboquestaels |
| Upload Date | April 02 2026 06:06 PM |
| Views | 7 |
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% |
4660
866.7 IPS |
|
|
Image Classification (HP)
|
100% |
4702
874.4 IPS |
|
|
Image Classification (Q)
|
96% |
4487
838.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6791
110.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7430
120.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7064
114.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24662
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
27855
32.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
27166
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
4587
363.8 IPS |
|
|
Object Detection (HP)
|
100% |
5031
399.1 IPS |
|
|
Object Detection (Q)
|
91% |
4899
391.5 IPS |
|
|
Face Detection (SP)
|
100% |
12596
149.7 IPS |
|
|
Face Detection (HP)
|
100% |
16463
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
15268
181.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19212
148.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21422
165.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
19937
156.0 IPS |
|
|
Style Transfer (SP)
|
100% |
52502
67.5 IPS |
|
|
Style Transfer (HP)
|
100% |
62379
80.2 IPS |
|
|
Style Transfer (Q)
|
96% |
60051
77.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11664
430.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11289
416.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9800
361.9 IPS |
|
|
Text Classification (SP)
|
99% |
6459
8.62 KIPS |
|
|
Text Classification (HP)
|
99% |
10221
13.6 KIPS |
|
|
Text Classification (Q)
|
92% |
10135
13.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
5264
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5692
98.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3111
53.8 IPS |
