iPad15,3
Geekbench AI Score
6739
Single Precision Score
7720
Half Precision Score
7991
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 07:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3965
737.4 IPS |
|
|
Image Classification (HP)
|
100% |
3705
689.1 IPS |
|
|
Image Classification (Q)
|
96% |
3592
670.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5579
90.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6067
98.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6247
101.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12986
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13436
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
18937
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
3279
260.1 IPS |
|
|
Object Detection (HP)
|
100% |
3592
284.9 IPS |
|
|
Object Detection (Q)
|
92% |
3684
294.1 IPS |
|
|
Face Detection (SP)
|
100% |
9928
118.0 IPS |
|
|
Face Detection (HP)
|
100% |
10073
119.7 IPS |
|
|
Face Detection (Q)
|
100% |
10888
129.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14691
113.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16281
125.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
17298
135.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33008
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41209
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40412
52.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7688
283.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8536
315.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8647
319.3 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
99% |
5457
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5418
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2204
38.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1903
32.9 IPS |
