iPhone Air
Geekbench AI Score
4964
Single Precision Score
8070
Half Precision Score
6376
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | aIpaca |
| Upload Date | March 19 2026 05:56 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2299
427.5 IPS |
|
|
Image Classification (HP)
|
100% |
3686
685.5 IPS |
|
|
Image Classification (Q)
|
96% |
2430
453.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2969
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3360
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9943
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17462
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15007
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.0 IPS |
|
|
Object Detection (HP)
|
97% |
3918
311.9 IPS |
|
|
Object Detection (Q)
|
94% |
2702
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
4102
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
7819
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4092
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8151
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13748
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9453
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23775
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35937
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30085
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5445
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6606
243.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4913
181.4 IPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6482
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6363
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5050
87.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9465
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9230
159.5 IPS |
