iPhone Air
Geekbench AI Score
8636
Single Precision Score
16580
Half Precision Score
18101
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | March 07 2026 02:31 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3968
738.0 IPS |
|
|
Image Classification (HP)
|
100% |
7902
1.47 KIPS |
|
|
Image Classification (Q)
|
99% |
8134
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5367
87.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8899
144.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9363
151.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18043
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
48223
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
62700
73.5 IPS |
|
|
Object Detection (SP)
|
100% |
4086
324.1 IPS |
|
|
Object Detection (HP)
|
100% |
8103
642.7 IPS |
|
|
Object Detection (Q)
|
93% |
8957
714.4 IPS |
|
|
Face Detection (SP)
|
100% |
11524
136.9 IPS |
|
|
Face Detection (HP)
|
100% |
24847
295.2 IPS |
|
|
Face Detection (Q)
|
100% |
23430
278.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15992
123.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
32955
253.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
35065
273.8 IPS |
|
|
Style Transfer (SP)
|
100% |
34199
44.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66569
85.6 IPS |
|
|
Style Transfer (Q)
|
96% |
85379
110.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7140
263.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17733
654.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19301
712.7 IPS |
|
|
Text Classification (SP)
|
100% |
6548
8.74 KIPS |
|
|
Text Classification (HP)
|
99% |
11083
14.8 KIPS |
|
|
Text Classification (Q)
|
93% |
11944
16.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
4990
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5336
91.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5461
94.4 IPS |
