iPad15,7
Geekbench AI Score
3420
Single Precision Score
6247
Half Precision Score
5112
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 02:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1348
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
2598
483.2 IPS |
|
|
Image Classification (Q)
|
96% |
1815
338.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2671
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6364
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
15049
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12783
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (HP)
|
97% |
2936
233.8 IPS |
|
|
Object Detection (Q)
|
94% |
2109
168.1 IPS |
|
|
Face Detection (SP)
|
100% |
3166
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6219
73.9 IPS |
|
|
Face Detection (Q)
|
100% |
3543
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5895
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11652
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8124
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18413
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29129
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24249
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3813
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5134
189.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3902
144.1 IPS |
|
|
Text Classification (SP)
|
100% |
2756
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4851
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4781
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7123
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7168
123.9 IPS |
