iPad15,5
Geekbench AI Score
8099
Single Precision Score
9377
Half Precision Score
8780
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 03:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad15,5 |
| Model ID | iPad15,5 |
| Motherboard | J637AP |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4082
759.1 IPS |
|
|
Image Classification (HP)
|
100% |
4355
809.8 IPS |
|
|
Image Classification (Q)
|
96% |
3926
733.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6182
100.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6543
106.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6251
101.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21671
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24033
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23451
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4182
331.7 IPS |
|
|
Object Detection (HP)
|
100% |
4568
362.3 IPS |
|
|
Object Detection (Q)
|
92% |
4233
337.9 IPS |
|
|
Face Detection (SP)
|
100% |
11416
135.6 IPS |
|
|
Face Detection (HP)
|
100% |
14431
171.5 IPS |
|
|
Face Detection (Q)
|
100% |
11613
138.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17747
136.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19302
148.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
17671
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47012
60.4 IPS |
|
|
Style Transfer (HP)
|
100% |
54688
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53064
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10064
371.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10276
379.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8838
326.4 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5468
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1730
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1948
33.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2124
36.7 IPS |
