iPad15,7
Geekbench AI Score
3015
Single Precision Score
3037
Half Precision Score
3161
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 03:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
688
127.9 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.1 IPS |
|
|
Image Classification (Q)
|
96% |
897
167.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2440
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2399
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2193
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9361
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10348
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9742
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1007
79.9 IPS |
|
|
Object Detection (HP)
|
100% |
903
71.6 IPS |
|
|
Object Detection (Q)
|
92% |
933
74.5 IPS |
|
|
Face Detection (SP)
|
100% |
4944
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
3493
41.5 IPS |
|
|
Face Detection (Q)
|
100% |
4330
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7596
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8008
61.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6876
53.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17533
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19549
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18914
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2622
96.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2994
110.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2526
93.3 IPS |
|
|
Text Classification (SP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4877
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4775
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
723
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
822
14.2 IPS |
