iPad15,3
Geekbench AI Score
4136
Single Precision Score
31228
Half Precision Score
35165
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 09:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1616
300.4 IPS |
|
|
Image Classification (HP)
|
100% |
17713
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
20588
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22390
363.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27606
447.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8961
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122565
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
121648
142.6 IPS |
|
|
Object Detection (SP)
|
100% |
1817
144.1 IPS |
|
|
Object Detection (HP)
|
100% |
17668
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
21256
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3591
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
39094
464.5 IPS |
|
|
Face Detection (Q)
|
100% |
51772
615.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7168
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98290
757.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
123509
965.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22453
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
230522
296.3 IPS |
|
|
Style Transfer (Q)
|
96% |
220898
285.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5224
192.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48841
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56234
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5192
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5157
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3317
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4573
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4804
83.0 IPS |
