iPad15,3
Geekbench AI Score
4148
Single Precision Score
7094
Half Precision Score
5743
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 02:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1631
303.4 IPS |
|
|
Image Classification (HP)
|
100% |
2981
554.4 IPS |
|
|
Image Classification (Q)
|
96% |
2099
392.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2996
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3294
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8957
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17545
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15112
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1829
145.1 IPS |
|
|
Object Detection (HP)
|
97% |
3232
257.3 IPS |
|
|
Object Detection (Q)
|
94% |
2361
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6897
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
4015
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7158
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12767
98.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9023
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22547
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34542
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28634
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5257
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6135
226.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4459
164.7 IPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5332
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5294
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3277
56.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6409
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6464
111.7 IPS |
