iPad17,4
Geekbench AI Score
5333
Single Precision Score
8625
Half Precision Score
6838
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | February 04 2026 12:34 AM |
| Views | 6 |
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 | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2292
426.2 IPS |
|
|
Image Classification (HP)
|
100% |
3695
687.2 IPS |
|
|
Image Classification (Q)
|
96% |
2492
465.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3375
54.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3719
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11031
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20927
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17881
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4199
334.3 IPS |
|
|
Object Detection (Q)
|
94% |
2927
233.3 IPS |
|
|
Face Detection (SP)
|
100% |
4788
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8509
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4747
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9150
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15217
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10545
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27527
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41379
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33816
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6008
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7303
269.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5151
190.2 IPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5576
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5557
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5126
88.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9537
164.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9518
164.5 IPS |
