iPad14,4
Geekbench AI Score
3205
Single Precision Score
5584
Half Precision Score
4795
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 10:12 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% |
1293
240.4 IPS |
|
|
Image Classification (HP)
|
100% |
1867
347.2 IPS |
|
|
Image Classification (Q)
|
96% |
1504
280.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2738
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5805
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
14966
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12889
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (HP)
|
97% |
2814
224.0 IPS |
|
|
Object Detection (Q)
|
94% |
2049
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
3945
46.9 IPS |
|
|
Face Detection (Q)
|
100% |
3408
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5424
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10899
84.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7693
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18112
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28178
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23398
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3697
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5025
185.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3713
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3874
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3873
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3613
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6761
116.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6703
115.8 IPS |
