iPad15,3
Geekbench AI Score
7839
Single Precision Score
9084
Half Precision Score
8124
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | aferreiro77 |
| Upload Date | July 08 2025 01:10 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4036
750.5 IPS |
|
|
Image Classification (HP)
|
100% |
4317
802.9 IPS |
|
|
Image Classification (Q)
|
97% |
3683
687.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4222
68.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5595
90.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5863
95.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22888
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23948
27.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
22908
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
4228
335.4 IPS |
|
|
Object Detection (HP)
|
100% |
4620
366.5 IPS |
|
|
Object Detection (Q)
|
91% |
3951
315.7 IPS |
|
|
Face Detection (SP)
|
100% |
11409
135.6 IPS |
|
|
Face Detection (HP)
|
100% |
14140
168.0 IPS |
|
|
Face Detection (Q)
|
100% |
10204
121.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17930
138.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19716
151.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
16891
132.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47404
60.9 IPS |
|
|
Style Transfer (HP)
|
100% |
54771
70.4 IPS |
|
|
Style Transfer (Q)
|
96% |
51432
66.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10298
380.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11422
421.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8910
329.0 IPS |
|
|
Text Classification (SP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5173
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5162
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1832
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1573
27.2 IPS |
