iPad17,4
Geekbench AI Score
5321
Single Precision Score
8649
Half Precision Score
6835
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Obrig |
| Upload Date | December 24 2025 08:22 AM |
| Views | 8 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2272
422.5 IPS |
|
|
Image Classification (HP)
|
100% |
3719
691.6 IPS |
|
|
Image Classification (Q)
|
96% |
2499
466.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3360
54.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3570
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11357
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20832
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17826
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.9 IPS |
|
|
Object Detection (HP)
|
97% |
4166
331.7 IPS |
|
|
Object Detection (Q)
|
94% |
2917
232.5 IPS |
|
|
Face Detection (SP)
|
100% |
4769
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8481
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4748
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9114
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15259
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10551
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27496
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41402
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33860
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5877
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7337
270.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5241
193.5 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5771
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5660
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5143
88.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9529
164.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9535
164.8 IPS |
