iPad15,3
Geekbench AI Score
4034
Single Precision Score
30962
Half Precision Score
34725
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 11:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1530
284.5 IPS |
|
|
Image Classification (HP)
|
100% |
16227
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
18909
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21894
354.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26930
436.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8432
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
121194
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
120946
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.4 IPS |
|
|
Object Detection (HP)
|
100% |
17347
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
20295
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3488
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
39795
472.8 IPS |
|
|
Face Detection (Q)
|
100% |
52121
619.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6981
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97106
748.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
121977
953.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22046
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
229400
294.9 IPS |
|
|
Style Transfer (Q)
|
96% |
220757
284.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5002
184.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47651
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55569
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5672
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5580
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3298
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4525
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4687
81.0 IPS |
