iPad15,5
Geekbench AI Score
4001
Single Precision Score
7123
Half Precision Score
5753
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | morgan3nelson |
| Upload Date | October 27 2025 02:10 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1479
275.1 IPS |
|
|
Image Classification (HP)
|
100% |
2955
549.5 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2889
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3219
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8342
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
17500
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15108
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1720
136.4 IPS |
|
|
Object Detection (HP)
|
97% |
3229
257.1 IPS |
|
|
Object Detection (Q)
|
94% |
2316
184.6 IPS |
|
|
Face Detection (SP)
|
100% |
3413
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
6806
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3996
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6955
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12726
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9032
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21978
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33719
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28103
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4929
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6160
227.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4464
164.8 IPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5691
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5647
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3266
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6811
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6774
117.1 IPS |
