iPadAirM3 (iPad15,4) iPad15,4
Geekbench AI Score
8179
Single Precision Score
9284
Half Precision Score
8600
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M4rc0L |
| Upload Date | September 17 2025 08:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4078
758.3 IPS |
|
|
Image Classification (HP)
|
100% |
4281
796.0 IPS |
|
|
Image Classification (Q)
|
96% |
3938
735.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6176
100.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6492
105.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6238
101.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
21686
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24056
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23455
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4268
338.5 IPS |
|
|
Object Detection (HP)
|
100% |
4572
362.7 IPS |
|
|
Object Detection (Q)
|
92% |
4251
339.3 IPS |
|
|
Face Detection (SP)
|
100% |
11425
135.7 IPS |
|
|
Face Detection (HP)
|
100% |
14489
172.2 IPS |
|
|
Face Detection (Q)
|
100% |
11659
138.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17720
136.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19368
149.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
17665
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47141
60.6 IPS |
|
|
Style Transfer (HP)
|
100% |
54723
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53085
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10101
373.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10268
379.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8860
327.2 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5476
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5477
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1866
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1703
29.4 IPS |
