iPad17,4
Geekbench AI Score
5370
Single Precision Score
8646
Half Precision Score
6847
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | February 04 2026 12:19 AM |
| Views | 8 |
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% |
2282
424.5 IPS |
|
|
Image Classification (HP)
|
100% |
3679
684.1 IPS |
|
|
Image Classification (Q)
|
96% |
2492
465.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3466
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3774
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11371
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20955
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17827
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2677
212.4 IPS |
|
|
Object Detection (HP)
|
97% |
4203
334.6 IPS |
|
|
Object Detection (Q)
|
94% |
2936
234.0 IPS |
|
|
Face Detection (SP)
|
100% |
4809
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8500
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4758
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9144
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15249
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10548
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27362
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41414
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33835
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7325
270.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5174
191.1 IPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5617
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5565
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5165
89.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9420
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9420
162.8 IPS |
