iPad15,3
Geekbench AI Score
4117
Single Precision Score
7062
Half Precision Score
5703
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 06:32 AM |
| Views | 4 |
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 | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1601
297.8 IPS |
|
|
Image Classification (HP)
|
100% |
2970
552.4 IPS |
|
|
Image Classification (Q)
|
96% |
2070
386.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2927
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3224
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8942
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17530
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15088
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1811
143.7 IPS |
|
|
Object Detection (HP)
|
97% |
3222
256.5 IPS |
|
|
Object Detection (Q)
|
94% |
2332
185.9 IPS |
|
|
Face Detection (SP)
|
100% |
3589
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
6856
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3989
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7161
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12801
99.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9031
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22447
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34508
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28585
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5223
192.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6117
225.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4470
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5359
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5280
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3263
56.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6334
109.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6383
110.3 IPS |
