iPad15,7
Geekbench AI Score
3624
Single Precision Score
6272
Half Precision Score
5081
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jmholmesjr1967 |
| Upload Date | December 03 2025 03:41 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1447
269.1 IPS |
|
|
Image Classification (HP)
|
100% |
2567
477.5 IPS |
|
|
Image Classification (Q)
|
96% |
1767
329.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2630
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7005
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
15720
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13135
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
97% |
2923
232.7 IPS |
|
|
Object Detection (Q)
|
94% |
2080
165.8 IPS |
|
|
Face Detection (SP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6040
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3499
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6180
47.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11637
90.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8105
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19042
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29787
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24554
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4276
157.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5436
200.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3919
144.7 IPS |
|
|
Text Classification (SP)
|
100% |
2755
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4903
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4912
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3658
63.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6725
116.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6748
116.6 IPS |
