iPad15,4
Geekbench AI Score
4200
Single Precision Score
7167
Half Precision Score
5811
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 25 2025 05:29 PM |
| Views | 3 |
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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1624
301.9 IPS |
|
|
Image Classification (HP)
|
100% |
2993
556.7 IPS |
|
|
Image Classification (Q)
|
96% |
2103
392.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1922
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2956
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3329
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9012
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17559
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15109
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.3 IPS |
|
|
Object Detection (HP)
|
97% |
3268
260.2 IPS |
|
|
Object Detection (Q)
|
94% |
2385
190.1 IPS |
|
|
Face Detection (SP)
|
100% |
3612
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
6889
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
4010
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7195
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12793
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9086
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22500
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34540
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28573
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5275
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6148
227.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4475
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
3229
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5494
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5459
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3358
57.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6852
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6850
118.4 IPS |
