iPad17,4
Geekbench AI Score
12440
Single Precision Score
22320
Half Precision Score
22519
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 11:43 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5789
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
9635
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
9696
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9688
157.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14959
242.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16408
266.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
36326
42.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
88370
103.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104057
122.0 IPS |
|
|
Object Detection (SP)
|
100% |
6066
481.2 IPS |
|
|
Object Detection (HP)
|
100% |
10454
829.2 IPS |
|
|
Object Detection (Q)
|
93% |
9559
762.6 IPS |
|
|
Face Detection (SP)
|
100% |
18136
215.5 IPS |
|
|
Face Detection (HP)
|
100% |
31357
372.6 IPS |
|
|
Face Detection (Q)
|
100% |
25858
307.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27263
210.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50090
385.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
50558
394.7 IPS |
|
|
Style Transfer (SP)
|
100% |
77582
99.7 IPS |
|
|
Style Transfer (HP)
|
100% |
162321
208.7 IPS |
|
|
Style Transfer (Q)
|
96% |
198192
255.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15121
558.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30649
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28085
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2030
2.71 KIPS |
|
|
Text Classification (HP)
|
99% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5476
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
6102
105.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5306
91.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5319
91.9 IPS |
