iPad14,4
Geekbench AI Score
2962
Single Precision Score
24669
Half Precision Score
27856
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 03:58 AM |
| Views | 2 |
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% |
1235
229.6 IPS |
|
|
Image Classification (HP)
|
100% |
12901
2.40 KIPS |
|
|
Image Classification (Q)
|
96% |
14457
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18508
300.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
22610
366.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5878
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
98307
114.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
94209
110.4 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
99% |
15765
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
16641
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
2401
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
28549
339.2 IPS |
|
|
Face Detection (Q)
|
100% |
43587
517.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5317
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
76578
590.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
109102
852.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13188
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
182366
234.4 IPS |
|
|
Style Transfer (Q)
|
96% |
180989
233.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2585
95.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39486
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39991
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3358
4.48 KIPS |
|
|
Text Classification (Q)
|
93% |
3603
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3584
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4268
73.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4428
76.5 IPS |
