iPad15,5
Geekbench AI Score
7636
Single Precision Score
9194
Half Precision Score
8594
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 03 2025 06:32 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 | 3.78 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4081
758.9 IPS |
|
|
Image Classification (HP)
|
100% |
4321
803.5 IPS |
|
|
Image Classification (Q)
|
96% |
3940
735.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6070
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6463
104.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6263
101.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
21658
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24056
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23456
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (HP)
|
100% |
4554
361.2 IPS |
|
|
Object Detection (Q)
|
92% |
4230
337.7 IPS |
|
|
Face Detection (SP)
|
100% |
11360
135.0 IPS |
|
|
Face Detection (HP)
|
100% |
14420
171.3 IPS |
|
|
Face Detection (Q)
|
100% |
11634
138.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17683
136.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19182
147.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
17404
135.9 IPS |
|
|
Style Transfer (SP)
|
100% |
45905
59.0 IPS |
|
|
Style Transfer (HP)
|
100% |
51723
66.5 IPS |
|
|
Style Transfer (Q)
|
96% |
52004
67.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10217
377.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10184
376.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8830
326.0 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5686
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5682
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1595
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1703
29.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1701
29.4 IPS |
