iPad15,6
Geekbench AI Score
4049
Single Precision Score
30973
Half Precision Score
34588
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 20 2025 04:30 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1536
285.7 IPS |
|
|
Image Classification (HP)
|
100% |
16399
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
18550
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22275
361.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27514
446.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8417
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
121638
141.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
121109
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (HP)
|
100% |
17497
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20374
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3513
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
39314
467.1 IPS |
|
|
Face Detection (Q)
|
100% |
51628
613.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7081
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
97327
749.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
121776
952.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22029
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
227551
292.5 IPS |
|
|
Style Transfer (Q)
|
96% |
219039
282.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4988
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47675
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54276
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5591
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5537
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3295
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4504
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4702
81.3 IPS |
