iPad15,3
Geekbench AI Score
3288
Single Precision Score
6271
Half Precision Score
4980
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 07:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1260
234.3 IPS |
|
|
Image Classification (HP)
|
100% |
2624
488.0 IPS |
|
|
Image Classification (Q)
|
96% |
1786
333.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2844
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5176
6.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
12309
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
10464
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1527
121.1 IPS |
|
|
Object Detection (HP)
|
97% |
2973
236.7 IPS |
|
|
Object Detection (Q)
|
94% |
2065
164.6 IPS |
|
|
Face Detection (SP)
|
100% |
2733
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
6067
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3445
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5783
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11609
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7858
61.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17561
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30470
39.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24602
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4547
167.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5650
208.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4013
148.2 IPS |
|
|
Text Classification (SP)
|
100% |
3136
4.19 KIPS |
|
|
Text Classification (HP)
|
99% |
5509
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5487
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2476
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5890
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5832
100.8 IPS |
