iPad15,5
Geekbench AI Score
4039
Single Precision Score
28307
Half Precision Score
31916
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | NickRM |
| Upload Date | December 05 2025 05:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1529
284.3 IPS |
|
|
Image Classification (HP)
|
100% |
15223
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
17461
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22276
361.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27463
445.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8438
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
118406
138.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
119656
140.2 IPS |
|
|
Object Detection (SP)
|
100% |
1720
136.4 IPS |
|
|
Object Detection (HP)
|
100% |
17541
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
16096
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
3470
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
39836
473.3 IPS |
|
|
Face Detection (Q)
|
100% |
52600
625.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6987
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
80415
619.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
101878
796.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22018
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
214380
275.6 IPS |
|
|
Style Transfer (Q)
|
96% |
206240
266.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5000
184.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32610
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46920
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5519
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5481
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3347
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3795
65.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4179
72.2 IPS |
