iPhone Air
Geekbench AI Score
4151
Single Precision Score
28800
Half Precision Score
38909
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | aIpaca |
| Upload Date | March 19 2026 06:02 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPhone Air |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2291
426.1 IPS |
|
|
Image Classification (HP)
|
100% |
14816
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
22549
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1861
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19284
312.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23757
385.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8646
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
137319
160.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
265138
310.8 IPS |
|
|
Object Detection (SP)
|
100% |
2267
179.8 IPS |
|
|
Object Detection (HP)
|
100% |
15156
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
22508
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3680
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
28795
342.1 IPS |
|
|
Face Detection (Q)
|
100% |
39099
464.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7335
56.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
73844
568.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
127266
995.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15050
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
173128
222.6 IPS |
|
|
Style Transfer (Q)
|
96% |
202831
261.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4484
165.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38918
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
67882
2.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3060
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5391
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4710
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3261
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8549
147.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7710
133.2 IPS |
