iPad14,4
Geekbench AI Score
3007
Single Precision Score
24981
Half Precision Score
26519
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 03:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1114
207.2 IPS |
|
|
Image Classification (HP)
|
100% |
14195
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
15462
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17334
281.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23143
375.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5996
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
83437
97.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
85739
100.5 IPS |
|
|
Object Detection (SP)
|
100% |
1342
106.4 IPS |
|
|
Object Detection (HP)
|
99% |
15812
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
16675
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
34209
406.5 IPS |
|
|
Face Detection (Q)
|
100% |
34722
412.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5268
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
83111
640.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
92571
723.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17923
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203942
262.2 IPS |
|
|
Style Transfer (Q)
|
96% |
159858
206.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3619
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34194
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46973
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3662
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3362
4.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4017
69.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4144
71.6 IPS |
