iPad17,4
Geekbench AI Score
5334
Single Precision Score
8649
Half Precision Score
6852
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 30 2026 08:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2297
427.1 IPS |
|
|
Image Classification (HP)
|
100% |
3667
681.9 IPS |
|
|
Image Classification (Q)
|
96% |
2507
468.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3431
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3785
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11025
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20912
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17807
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
4203
334.6 IPS |
|
|
Object Detection (Q)
|
94% |
2934
233.9 IPS |
|
|
Face Detection (SP)
|
100% |
4808
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8517
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4757
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9156
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15206
117.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10549
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27211
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41271
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33724
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7351
271.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5166
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5646
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5622
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5194
89.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9552
165.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9363
161.8 IPS |
