iPad15,3
Geekbench AI Score
4016
Single Precision Score
31030
Half Precision Score
34610
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 03:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1525
283.6 IPS |
|
|
Image Classification (HP)
|
100% |
16296
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
18404
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21910
355.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27413
444.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8390
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
120671
140.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
120672
141.4 IPS |
|
|
Object Detection (SP)
|
100% |
1720
136.5 IPS |
|
|
Object Detection (HP)
|
100% |
17966
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
20240
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3457
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
39860
473.6 IPS |
|
|
Face Detection (Q)
|
100% |
51786
615.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6961
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96976
747.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
122004
953.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21988
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
227932
293.0 IPS |
|
|
Style Transfer (Q)
|
96% |
219976
283.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4949
182.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48800
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55639
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5530
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5511
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3269
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4497
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4697
81.2 IPS |
