iPhone Air
Geekbench AI Score
5148
Single Precision Score
35142
Half Precision Score
48620
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | February 13 2026 02:50 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2353
437.5 IPS |
|
|
Image Classification (HP)
|
100% |
14641
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
21345
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19790
320.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25303
410.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10557
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
159194
185.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
297827
349.1 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.4 IPS |
|
|
Object Detection (HP)
|
100% |
17246
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24929
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4488
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
41023
487.4 IPS |
|
|
Face Detection (Q)
|
100% |
51192
608.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8434
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
102872
792.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
166076
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24849
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
257596
331.1 IPS |
|
|
Style Transfer (Q)
|
96% |
353549
456.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5549
204.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55558
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82421
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6502
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6383
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5203
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9196
158.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11643
201.2 IPS |
