iPhone Air
Geekbench AI Score
5099
Single Precision Score
35248
Half Precision Score
48480
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | arobasefr |
| Upload Date | December 29 2025 06:02 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2347
436.4 IPS |
|
|
Image Classification (HP)
|
100% |
15206
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
21376
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19713
319.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24954
404.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10472
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
154378
180.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
294403
345.1 IPS |
|
|
Object Detection (SP)
|
100% |
2553
202.5 IPS |
|
|
Object Detection (HP)
|
100% |
17365
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24680
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4435
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
41065
487.9 IPS |
|
|
Face Detection (Q)
|
100% |
50107
595.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8244
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
101747
783.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168600
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24203
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
257215
330.7 IPS |
|
|
Style Transfer (Q)
|
96% |
349746
451.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5430
200.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55690
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82942
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3541
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6418
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6335
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5247
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9592
165.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11921
206.0 IPS |
