iPad14,4
Geekbench AI Score
3332
Single Precision Score
26485
Half Precision Score
29096
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | edwardhchan |
| Upload Date | November 03 2025 06:17 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
14879
2.77 KIPS |
|
|
Image Classification (Q)
|
96% |
15596
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19848
321.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24126
391.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6351
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
100531
117.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104847
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1433
113.6 IPS |
|
|
Object Detection (HP)
|
99% |
15637
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17155
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3131
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
33922
403.1 IPS |
|
|
Face Detection (Q)
|
100% |
42780
508.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5474
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86898
669.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
106400
831.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18142
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205267
263.9 IPS |
|
|
Style Transfer (Q)
|
96% |
195653
252.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3705
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37687
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42956
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3820
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3815
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3624
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4201
72.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4404
76.1 IPS |
