iPad17,4
Geekbench AI Score
5320
Single Precision Score
8640
Half Precision Score
6847
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 08:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2291
426.1 IPS |
|
|
Image Classification (HP)
|
100% |
3736
694.8 IPS |
|
|
Image Classification (Q)
|
96% |
2497
466.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3449
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3744
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11314
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20909
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17826
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.2 IPS |
|
|
Object Detection (HP)
|
97% |
4201
334.4 IPS |
|
|
Object Detection (Q)
|
94% |
2930
233.6 IPS |
|
|
Face Detection (SP)
|
100% |
4749
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
8505
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4735
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9127
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15256
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10577
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27571
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41453
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33785
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6008
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7331
270.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5187
191.5 IPS |
|
|
Text Classification (SP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5509
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5584
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5141
88.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9437
163.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9468
163.6 IPS |
