iPadAirM3 (iPad15,4) iPad15,4
Geekbench AI Score
4055
Single Precision Score
30905
Half Precision Score
34539
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M4rc0L |
| Upload Date | September 17 2025 08:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1562
290.5 IPS |
|
|
Image Classification (HP)
|
100% |
16340
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
19048
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21924
355.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
26881
435.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8397
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
121549
141.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
121071
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1724
136.7 IPS |
|
|
Object Detection (HP)
|
100% |
17709
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
20316
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3545
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
39301
467.0 IPS |
|
|
Face Detection (Q)
|
100% |
51366
610.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7058
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
97508
751.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
121869
952.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22039
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
229098
294.5 IPS |
|
|
Style Transfer (Q)
|
96% |
220392
284.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4992
184.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47522
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54315
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5471
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5456
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3294
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4517
77.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4693
81.1 IPS |
