iPad15,3
Geekbench AI Score
3855
Single Precision Score
30641
Half Precision Score
34488
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 06:09 PM |
| Views | 2 |
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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
16198
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
17090
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19541
316.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27284
442.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8309
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
121171
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
121104
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1718
136.3 IPS |
|
|
Object Detection (HP)
|
100% |
17670
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
20314
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3437
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
39996
475.2 IPS |
|
|
Face Detection (Q)
|
100% |
52079
618.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6719
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97976
754.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
124277
971.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21940
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
227728
292.7 IPS |
|
|
Style Transfer (Q)
|
96% |
220186
284.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4892
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48927
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56345
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5490
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5489
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3209
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4492
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4709
81.4 IPS |
