iPad14,4
Geekbench AI Score
3282
Single Precision Score
26728
Half Precision Score
29383
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 06:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1285
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
15111
2.81 KIPS |
|
|
Image Classification (Q)
|
96% |
15481
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19826
321.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24249
393.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6315
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
105492
123.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
106872
125.3 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
99% |
15755
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
16999
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
33901
402.8 IPS |
|
|
Face Detection (Q)
|
100% |
43092
512.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5431
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87187
671.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
108560
848.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18088
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
206010
264.8 IPS |
|
|
Style Transfer (Q)
|
96% |
195511
252.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3718
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37703
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44947
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
2327
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3833
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3898
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3598
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4248
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4390
75.9 IPS |
