iPad14,4
Geekbench AI Score
3286
Single Precision Score
5990
Half Precision Score
4852
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 12:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1293
240.5 IPS |
|
|
Image Classification (HP)
|
100% |
2515
467.7 IPS |
|
|
Image Classification (Q)
|
96% |
1748
326.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2744
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6295
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
15083
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12857
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
97% |
2796
222.6 IPS |
|
|
Object Detection (Q)
|
94% |
2033
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5986
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3473
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5348
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11003
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7683
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18086
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28157
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23408
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4989
184.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3716
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3783
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3685
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3611
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6772
117.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6755
116.7 IPS |
