iPad14,4
Geekbench AI Score
7403
Single Precision Score
8212
Half Precision Score
7662
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 12:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3603
670.0 IPS |
|
|
Image Classification (HP)
|
100% |
3578
665.3 IPS |
|
|
Image Classification (Q)
|
96% |
3295
615.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5759
93.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5912
95.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5669
91.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24711
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26790
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26025
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3531
280.1 IPS |
|
|
Object Detection (HP)
|
100% |
3621
287.2 IPS |
|
|
Object Detection (Q)
|
92% |
3424
273.3 IPS |
|
|
Face Detection (SP)
|
100% |
10391
123.5 IPS |
|
|
Face Detection (HP)
|
100% |
12168
144.6 IPS |
|
|
Face Detection (Q)
|
100% |
10046
119.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16787
129.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18035
139.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
16683
130.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42748
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49097
63.1 IPS |
|
|
Style Transfer (Q)
|
96% |
47547
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9651
356.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10091
372.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8732
322.4 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3725
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3705
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1683
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1680
28.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1625
28.1 IPS |
