iPad14,4
Geekbench AI Score
3008
Single Precision Score
5791
Half Precision Score
4722
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 10:11 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% |
1305
242.6 IPS |
|
|
Image Classification (HP)
|
100% |
2547
473.7 IPS |
|
|
Image Classification (Q)
|
96% |
1764
329.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2800
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6291
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
14947
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12825
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
97% |
2796
222.6 IPS |
|
|
Object Detection (Q)
|
94% |
2051
163.5 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5129
60.9 IPS |
|
|
Face Detection (Q)
|
100% |
3458
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5446
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10947
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6367
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11397
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27825
35.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23273
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2349
86.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5034
185.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3725
137.6 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3810
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3804
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5560
96.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5851
101.1 IPS |
