iPhone 16
Geekbench AI Score
4472
Single Precision Score
33107
Half Precision Score
46088
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 01:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
15552
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
21075
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18155
294.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23738
384.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8995
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153874
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
292453
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2325
184.4 IPS |
|
|
Object Detection (HP)
|
100% |
16254
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22337
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3591
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
39774
472.6 IPS |
|
|
Face Detection (Q)
|
100% |
55579
660.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8043
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94797
730.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
159283
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19463
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244689
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
304660
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5541
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50550
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85410
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4700
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5057
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3957
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10223
176.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11358
196.3 IPS |
