iPhone 16
Geekbench AI Score
4485
Single Precision Score
33824
Half Precision Score
45363
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 12:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2048
380.9 IPS |
|
|
Image Classification (HP)
|
100% |
14807
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18941
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18036
292.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23681
383.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8845
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153231
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
294846
345.6 IPS |
|
|
Object Detection (SP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (HP)
|
100% |
15781
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21310
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3528
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
40105
476.5 IPS |
|
|
Face Detection (Q)
|
100% |
51595
613.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7958
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94501
728.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
152864
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
20116
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245397
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
295818
381.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5338
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52956
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81840
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6361
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6301
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3949
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9690
166.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10884
188.1 IPS |
