iPad15,7
Geekbench AI Score
3578
Single Precision Score
22802
Half Precision Score
26388
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 03:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1425
265.0 IPS |
|
|
Image Classification (HP)
|
100% |
8829
1.64 KIPS |
|
|
Image Classification (Q)
|
97% |
11674
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15107
244.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19071
309.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6423
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
98738
115.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102205
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
100% |
12679
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
13994
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3344
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
31362
372.7 IPS |
|
|
Face Detection (Q)
|
100% |
39393
468.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6112
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71490
550.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
89532
700.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18204
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
171746
220.8 IPS |
|
|
Style Transfer (Q)
|
96% |
175049
225.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4017
148.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33841
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37860
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2814
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2665
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3777
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7216
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8254
142.6 IPS |
