iPad14,4
Geekbench AI Score
2761
Single Precision Score
23121
Half Precision Score
27803
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 03:57 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% |
1284
238.8 IPS |
|
|
Image Classification (HP)
|
100% |
14495
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
16457
3.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19715
319.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23820
386.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6300
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
105036
122.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
106401
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
99% |
15738
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
16123
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
2989
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
33610
399.4 IPS |
|
|
Face Detection (Q)
|
100% |
34148
405.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2427
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
29707
228.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
107751
842.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16489
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
191485
246.2 IPS |
|
|
Style Transfer (Q)
|
96% |
181101
233.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2602
96.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38723
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47622
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
1994
2.66 KIPS |
|
|
Text Classification (HP)
|
99% |
3375
4.51 KIPS |
|
|
Text Classification (Q)
|
93% |
3761
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3700
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3440
59.5 IPS |
