iPad14,4
Geekbench AI Score
7381
Single Precision Score
8303
Half Precision Score
7558
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bitbanger |
| Upload Date | December 25 2025 05:32 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.7.3 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3627
674.5 IPS |
|
|
Image Classification (HP)
|
100% |
3656
680.0 IPS |
|
|
Image Classification (Q)
|
96% |
3325
621.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5709
92.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5893
95.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5634
91.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24416
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26823
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
25822
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
3637
288.4 IPS |
|
|
Object Detection (HP)
|
100% |
3737
296.4 IPS |
|
|
Object Detection (Q)
|
92% |
3391
270.7 IPS |
|
|
Face Detection (SP)
|
100% |
10349
123.0 IPS |
|
|
Face Detection (HP)
|
100% |
11909
141.5 IPS |
|
|
Face Detection (Q)
|
100% |
10014
119.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16768
129.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18122
139.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
16407
128.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42441
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49148
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
47703
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9911
366.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10548
389.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8805
325.1 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3851
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3740
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1675
28.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1437
24.8 IPS |
