iPhone Air
Geekbench AI Score
4933
Single Precision Score
7968
Half Precision Score
6325
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ebarrera |
| Upload Date | March 20 2026 07:44 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2348
436.7 IPS |
|
|
Image Classification (HP)
|
100% |
2744
510.3 IPS |
|
|
Image Classification (Q)
|
94% |
1903
355.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3384
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7556
8.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
14881
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12590
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
2359
187.2 IPS |
|
|
Object Detection (HP)
|
98% |
4080
324.6 IPS |
|
|
Object Detection (Q)
|
88% |
2569
205.9 IPS |
|
|
Face Detection (SP)
|
100% |
4199
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
9211
109.4 IPS |
|
|
Face Detection (Q)
|
100% |
4347
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7352
56.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11201
86.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7628
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20093
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36831
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30886
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4400
162.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8751
323.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4985
184.1 IPS |
|
|
Text Classification (SP)
|
99% |
6771
9.04 KIPS |
|
|
Text Classification (HP)
|
100% |
11126
14.8 KIPS |
|
|
Text Classification (Q)
|
92% |
11293
15.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
5134
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7149
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8536
147.5 IPS |
