iPad15,4
Geekbench AI Score
4003
Single Precision Score
7089
Half Precision Score
5734
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 03:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,4 |
| Model ID | iPad15,4 |
| Motherboard | J608AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1523
283.3 IPS |
|
|
Image Classification (HP)
|
100% |
2954
549.4 IPS |
|
|
Image Classification (Q)
|
96% |
2054
383.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1795
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2887
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3215
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8363
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
17481
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15054
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1714
135.9 IPS |
|
|
Object Detection (HP)
|
97% |
3240
257.9 IPS |
|
|
Object Detection (Q)
|
94% |
2340
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3432
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
6822
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3982
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6951
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12732
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9016
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21896
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33728
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28051
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4976
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6143
226.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4463
164.8 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5470
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5447
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3244
55.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6748
116.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6756
116.8 IPS |
