iPad15,5
Geekbench AI Score
4033
Single Precision Score
30328
Half Precision Score
33786
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 11:55 PM |
| Views | 2 |
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 | 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% |
1535
285.5 IPS |
|
|
Image Classification (HP)
|
100% |
16184
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
18010
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1815
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22217
360.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27328
443.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8385
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
120894
141.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
120771
141.6 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.2 IPS |
|
|
Object Detection (HP)
|
100% |
17547
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20181
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3501
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
39312
467.1 IPS |
|
|
Face Detection (Q)
|
100% |
51510
612.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7071
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
92349
711.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
114655
896.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22010
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
225716
290.2 IPS |
|
|
Style Transfer (Q)
|
96% |
216378
279.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4985
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41510
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47583
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
3229
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5650
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5658
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3242
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4491
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4697
81.2 IPS |
