iPad15,4
Geekbench AI Score
8039
Single Precision Score
9255
Half Precision Score
8707
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 02:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4085
759.8 IPS |
|
|
Image Classification (HP)
|
100% |
4360
810.8 IPS |
|
|
Image Classification (Q)
|
96% |
3954
738.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6107
99.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6488
105.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6250
101.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21691
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24048
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23458
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4203
333.4 IPS |
|
|
Object Detection (HP)
|
100% |
4558
361.6 IPS |
|
|
Object Detection (Q)
|
92% |
4259
340.0 IPS |
|
|
Face Detection (SP)
|
100% |
11482
136.4 IPS |
|
|
Face Detection (HP)
|
100% |
14509
172.4 IPS |
|
|
Face Detection (Q)
|
100% |
11663
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17780
137.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19301
148.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
17649
137.8 IPS |
|
|
Style Transfer (SP)
|
100% |
47316
60.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54709
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53075
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10101
373.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10274
379.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8852
326.8 IPS |
|
|
Text Classification (SP)
|
100% |
3164
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5476
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5445
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1727
29.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1927
33.3 IPS |
