iPad17,4
Geekbench AI Score
5339
Single Precision Score
8628
Half Precision Score
6835
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | March 09 2026 01:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2277
423.5 IPS |
|
|
Image Classification (HP)
|
100% |
3686
685.4 IPS |
|
|
Image Classification (Q)
|
96% |
2488
464.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3403
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3738
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11014
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20901
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17807
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.4 IPS |
|
|
Object Detection (HP)
|
97% |
4206
334.9 IPS |
|
|
Object Detection (Q)
|
94% |
2933
233.8 IPS |
|
|
Face Detection (SP)
|
100% |
4796
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8539
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4762
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9142
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15214
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10511
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27480
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41306
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33802
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6016
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7307
269.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5146
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5630
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5582
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5206
89.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9397
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9427
162.9 IPS |
