iPad15,6
Geekbench AI Score
4029
Single Precision Score
31453
Half Precision Score
35389
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 02:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad15,6 |
| Model ID | iPad15,6 |
| Motherboard | J638AP |
| 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% |
1517
282.2 IPS |
|
|
Image Classification (HP)
|
100% |
16330
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
19886
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22060
357.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27152
440.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8400
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
121716
142.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
121025
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (HP)
|
100% |
18370
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
21212
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3497
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
39879
473.9 IPS |
|
|
Face Detection (Q)
|
100% |
51939
617.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7056
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98958
762.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
124241
971.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21954
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
228707
294.0 IPS |
|
|
Style Transfer (Q)
|
96% |
222598
287.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4993
184.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49417
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56808
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5725
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5694
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3251
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4608
79.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4784
82.7 IPS |
