iPad15,4
Geekbench AI Score
4130
Single Precision Score
7071
Half Precision Score
5718
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 05:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad15,4 |
| Model ID | iPad15,4 |
| Motherboard | J608AP |
| 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% |
1612
299.7 IPS |
|
|
Image Classification (HP)
|
100% |
2982
554.5 IPS |
|
|
Image Classification (Q)
|
96% |
2084
389.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2921
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3226
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9005
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17564
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15111
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1824
144.6 IPS |
|
|
Object Detection (HP)
|
97% |
3227
256.9 IPS |
|
|
Object Detection (Q)
|
94% |
2342
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
3562
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6886
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
3996
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7169
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12731
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9048
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22086
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34561
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28631
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5251
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6136
226.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4460
164.7 IPS |
|
|
Text Classification (SP)
|
100% |
2993
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5368
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5344
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3277
56.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6351
109.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6368
110.0 IPS |
