iPad15,7
Geekbench AI Score
3630
Single Precision Score
22258
Half Precision Score
24849
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 13 2025 10:21 AM |
| Views | 4 |
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% |
1454
270.4 IPS |
|
|
Image Classification (HP)
|
100% |
9201
1.71 KIPS |
|
|
Image Classification (Q)
|
97% |
10197
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13696
222.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19110
309.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6876
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
98780
115.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102290
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
12648
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
14470
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3336
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
30177
358.6 IPS |
|
|
Face Detection (Q)
|
100% |
38130
453.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6157
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71807
553.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
88912
695.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19099
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
171566
220.6 IPS |
|
|
Style Transfer (Q)
|
96% |
173670
224.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4060
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32640
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34901
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2816
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2192
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
1847
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3741
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7129
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8202
141.7 IPS |
