iPad15,3
Geekbench AI Score
8043
Single Precision Score
9352
Half Precision Score
8580
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | October 01 2025 03:13 PM |
| Views | 10 |
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% |
4091
760.9 IPS |
|
|
Image Classification (HP)
|
100% |
4300
799.7 IPS |
|
|
Image Classification (Q)
|
96% |
3929
733.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6212
100.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6507
105.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6272
101.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
21659
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24042
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23447
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4192
332.5 IPS |
|
|
Object Detection (HP)
|
100% |
4555
361.3 IPS |
|
|
Object Detection (Q)
|
92% |
4248
339.1 IPS |
|
|
Face Detection (SP)
|
100% |
11304
134.3 IPS |
|
|
Face Detection (HP)
|
100% |
14331
170.3 IPS |
|
|
Face Detection (Q)
|
100% |
11605
137.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17641
135.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19275
148.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
17651
137.9 IPS |
|
|
Style Transfer (SP)
|
100% |
47686
61.3 IPS |
|
|
Style Transfer (HP)
|
100% |
54591
70.2 IPS |
|
|
Style Transfer (Q)
|
96% |
52976
68.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10075
372.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10235
377.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8836
326.3 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5494
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5441
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1971
34.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1689
29.2 IPS |
