iPad15,4
Geekbench AI Score
8173
Single Precision Score
9278
Half Precision Score
8545
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 10 2025 09:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
4024
748.4 IPS |
|
|
Image Classification (HP)
|
100% |
4232
787.0 IPS |
|
|
Image Classification (Q)
|
96% |
3865
721.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6220
100.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6444
104.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6241
101.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22919
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23621
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23332
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
4189
332.3 IPS |
|
|
Object Detection (HP)
|
100% |
4615
366.1 IPS |
|
|
Object Detection (Q)
|
92% |
4211
336.1 IPS |
|
|
Face Detection (SP)
|
100% |
11447
136.0 IPS |
|
|
Face Detection (HP)
|
100% |
14328
170.2 IPS |
|
|
Face Detection (Q)
|
100% |
11598
137.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18234
140.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19216
148.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
17747
138.6 IPS |
|
|
Style Transfer (SP)
|
100% |
48238
62.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54057
69.5 IPS |
|
|
Style Transfer (Q)
|
96% |
52826
68.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10407
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10183
376.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8994
332.1 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5425
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5351
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1770
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1934
33.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1674
28.9 IPS |
