iPad Air M3 iPad15,3
Geekbench AI Score
4058
Single Precision Score
30387
Half Precision Score
33815
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | paz_levi |
| Upload Date | October 02 2025 05:55 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| 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% |
1542
286.7 IPS |
|
|
Image Classification (HP)
|
100% |
15769
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
18098
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22299
361.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26945
436.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8382
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
120678
140.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
121014
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.4 IPS |
|
|
Object Detection (HP)
|
100% |
17727
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
20306
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3530
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
39335
467.4 IPS |
|
|
Face Detection (Q)
|
100% |
51662
613.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7069
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94027
724.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
116331
909.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22058
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
228150
293.3 IPS |
|
|
Style Transfer (Q)
|
96% |
219047
282.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4994
184.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42855
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48506
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5479
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5437
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3380
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4505
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4699
81.2 IPS |
