iPad15,3
Geekbench AI Score
4180
Single Precision Score
30848
Half Precision Score
34262
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 06 2025 06:21 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1628
302.7 IPS |
|
|
Image Classification (HP)
|
100% |
16390
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
18457
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1884
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22262
360.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27247
441.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8961
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121524
141.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
121258
142.1 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.3 IPS |
|
|
Object Detection (HP)
|
100% |
18557
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20286
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3601
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
39217
466.0 IPS |
|
|
Face Detection (Q)
|
100% |
51518
612.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7180
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95902
738.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
119360
933.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22457
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
229114
294.5 IPS |
|
|
Style Transfer (Q)
|
96% |
221014
285.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5235
193.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43916
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51153
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5555
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5519
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3355
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4512
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4697
81.2 IPS |
