iPad15,3
Geekbench AI Score
8126
Single Precision Score
9427
Half Precision Score
8588
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dr3d |
| Upload Date | September 17 2025 03:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4079
758.7 IPS |
|
|
Image Classification (HP)
|
100% |
4326
804.4 IPS |
|
|
Image Classification (Q)
|
96% |
3937
735.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6165
99.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6466
104.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6259
101.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
21637
25.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
24010
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23431
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
4184
331.9 IPS |
|
|
Object Detection (HP)
|
100% |
4539
360.1 IPS |
|
|
Object Detection (Q)
|
92% |
4231
337.7 IPS |
|
|
Face Detection (SP)
|
100% |
11284
134.1 IPS |
|
|
Face Detection (HP)
|
100% |
14359
170.6 IPS |
|
|
Face Detection (Q)
|
100% |
11577
137.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17625
135.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19227
148.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
17662
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
46945
60.3 IPS |
|
|
Style Transfer (HP)
|
100% |
54585
70.2 IPS |
|
|
Style Transfer (Q)
|
96% |
52914
68.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10057
371.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10229
377.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8826
325.9 IPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5491
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5481
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1846
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1707
29.5 IPS |
