iPad15,3
Geekbench AI Score
4141
Single Precision Score
7124
Half Precision Score
5747
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dtaljoudi |
| Upload Date | October 06 2025 09:03 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1610
299.4 IPS |
|
|
Image Classification (HP)
|
100% |
2984
554.9 IPS |
|
|
Image Classification (Q)
|
96% |
2095
391.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1920
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2965
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3286
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8994
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17517
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15096
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.3 IPS |
|
|
Object Detection (HP)
|
97% |
3243
258.2 IPS |
|
|
Object Detection (Q)
|
94% |
2360
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3539
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
6863
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3997
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7166
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12870
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9059
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22468
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34533
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28593
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5237
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6139
226.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4474
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5481
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5292
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3292
56.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6534
112.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6547
113.1 IPS |
