iPad17,4
Geekbench AI Score
5350
Single Precision Score
8589
Half Precision Score
6840
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 11 2026 03:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2275
423.2 IPS |
|
|
Image Classification (HP)
|
100% |
3695
687.2 IPS |
|
|
Image Classification (Q)
|
96% |
2496
466.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3414
55.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3745
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11378
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20997
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17917
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2680
212.6 IPS |
|
|
Object Detection (HP)
|
97% |
4212
335.3 IPS |
|
|
Object Detection (Q)
|
94% |
2926
233.2 IPS |
|
|
Face Detection (SP)
|
100% |
4805
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8529
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4737
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9149
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15131
117.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10576
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27339
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41384
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33861
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6021
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7278
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5108
188.6 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5494
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5483
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5177
89.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9176
158.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9641
166.6 IPS |
