iPad15,5
Geekbench AI Score
4143
Single Precision Score
7114
Half Precision Score
5735
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 10:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1601
297.7 IPS |
|
|
Image Classification (HP)
|
100% |
2994
556.8 IPS |
|
|
Image Classification (Q)
|
96% |
2090
390.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2972
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3246
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9019
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17571
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15098
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1824
144.7 IPS |
|
|
Object Detection (HP)
|
97% |
3263
259.8 IPS |
|
|
Object Detection (Q)
|
94% |
2350
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
3613
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
6843
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3987
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7151
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12802
99.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9069
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22462
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34603
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28622
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5230
193.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6138
226.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4478
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
2991
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5411
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5326
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3285
56.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6464
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6489
112.1 IPS |
