iPhone Air
Geekbench AI Score
4795
Single Precision Score
34579
Half Precision Score
48348
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | arobasefr |
| Upload Date | February 12 2026 09:12 AM |
| Views | 3 |
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% |
2316
430.6 IPS |
|
|
Image Classification (HP)
|
100% |
14662
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
22177
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2062
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19438
315.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24468
396.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9289
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
144688
168.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
284485
333.4 IPS |
|
|
Object Detection (SP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (HP)
|
100% |
17298
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24542
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
3946
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
41048
487.7 IPS |
|
|
Face Detection (Q)
|
100% |
52218
620.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8095
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100409
773.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
165429
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23357
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
256427
329.6 IPS |
|
|
Style Transfer (Q)
|
96% |
351589
453.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5207
192.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52257
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79364
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3534
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6554
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6494
8.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4505
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9467
163.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11770
203.4 IPS |
