iPad15,5
Geekbench AI Score
8161
Single Precision Score
9291
Half Precision Score
8805
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 07:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4089
760.4 IPS |
|
|
Image Classification (HP)
|
100% |
4347
808.5 IPS |
|
|
Image Classification (Q)
|
96% |
3938
735.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6182
100.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6517
105.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6294
102.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21699
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24026
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23461
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4226
335.2 IPS |
|
|
Object Detection (HP)
|
100% |
4590
364.0 IPS |
|
|
Object Detection (Q)
|
92% |
4253
339.5 IPS |
|
|
Face Detection (SP)
|
100% |
11467
136.2 IPS |
|
|
Face Detection (HP)
|
100% |
14512
172.4 IPS |
|
|
Face Detection (Q)
|
100% |
11686
138.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17757
136.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19306
148.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
17686
138.1 IPS |
|
|
Style Transfer (SP)
|
100% |
47627
61.2 IPS |
|
|
Style Transfer (HP)
|
100% |
54708
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53054
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10100
373.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10269
379.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8835
326.2 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5535
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1763
30.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2113
36.5 IPS |
