iPad15,5
Geekbench AI Score
4024
Single Precision Score
31173
Half Precision Score
34800
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 03 2025 06:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1536
285.6 IPS |
|
|
Image Classification (HP)
|
100% |
16265
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
19586
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1815
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22247
360.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27443
444.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8334
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
122063
142.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
121057
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1714
136.0 IPS |
|
|
Object Detection (HP)
|
100% |
17719
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
20215
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3472
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
39350
467.6 IPS |
|
|
Face Detection (Q)
|
100% |
51447
611.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7058
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
97315
749.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
122209
955.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21962
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
229157
294.6 IPS |
|
|
Style Transfer (Q)
|
96% |
220765
284.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4976
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49212
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53881
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5703
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5673
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3237
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4496
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4669
80.7 IPS |
