iPad15,7
Geekbench AI Score
3588
Single Precision Score
6277
Half Precision Score
5111
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 28 2025 01:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1453
270.2 IPS |
|
|
Image Classification (HP)
|
100% |
2633
489.7 IPS |
|
|
Image Classification (Q)
|
96% |
1810
338.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2678
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6661
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
14984
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12627
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2952
235.0 IPS |
|
|
Object Detection (Q)
|
94% |
2114
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3295
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6175
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3525
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6150
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11724
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8142
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18491
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29642
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24583
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4017
148.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5131
189.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3882
143.3 IPS |
|
|
Text Classification (SP)
|
100% |
2821
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4905
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4802
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7126
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7159
123.7 IPS |
