iPad15,6
Geekbench AI Score
4159
Single Precision Score
7045
Half Precision Score
5673
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Degeho |
| Upload Date | March 15 2025 04:41 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1600
297.5 IPS |
|
|
Image Classification (HP)
|
100% |
2967
551.8 IPS |
|
|
Image Classification (Q)
|
96% |
2084
389.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3037
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3326
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8758
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17395
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15068
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (HP)
|
97% |
3285
261.5 IPS |
|
|
Object Detection (Q)
|
94% |
2358
188.0 IPS |
|
|
Face Detection (SP)
|
100% |
3522
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
6872
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
4023
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7136
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13536
104.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9348
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22499
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34086
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28280
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5281
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6035
222.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4398
162.4 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5246
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5154
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5835
100.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5825
100.7 IPS |
