iPad15,4
Geekbench AI Score
4023
Single Precision Score
7102
Half Precision Score
5738
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 02:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1534
285.2 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.7 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2894
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3225
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8057
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
17321
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14994
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (HP)
|
97% |
3257
259.3 IPS |
|
|
Object Detection (Q)
|
94% |
2346
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
3501
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6862
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3985
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7067
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12826
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9056
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21896
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33832
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28179
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4983
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6146
226.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4472
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5506
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5463
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3353
57.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6730
116.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6736
116.4 IPS |
