iPad15,4
Geekbench AI Score
4011
Single Precision Score
31173
Half Precision Score
34860
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 03:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,4 |
| Model ID | iPad15,4 |
| Motherboard | J608AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1540
286.4 IPS |
|
|
Image Classification (HP)
|
100% |
16371
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
18993
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22322
361.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27464
445.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8418
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
120723
140.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
121003
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.6 IPS |
|
|
Object Detection (HP)
|
100% |
17392
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
20348
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3444
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
39563
470.1 IPS |
|
|
Face Detection (Q)
|
100% |
51665
613.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6963
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98210
756.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
124252
971.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21847
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
230617
296.5 IPS |
|
|
Style Transfer (Q)
|
96% |
222338
286.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4946
182.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49436
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56642
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5591
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5439
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4561
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4693
81.1 IPS |
