iPad14,4
Geekbench AI Score
3321
Single Precision Score
6046
Half Precision Score
4925
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 04:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1316
244.8 IPS |
|
|
Image Classification (HP)
|
100% |
2542
472.8 IPS |
|
|
Image Classification (Q)
|
96% |
1777
331.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1460
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2786
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6275
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
15177
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12924
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
97% |
2810
223.7 IPS |
|
|
Object Detection (Q)
|
94% |
2054
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5966
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3477
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5428
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10956
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7787
60.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17979
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28279
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23482
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5094
188.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3729
137.7 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3951
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3616
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6836
118.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6826
118.0 IPS |
