iPhone 16
Geekbench AI Score
2606
Single Precision Score
4145
Half Precision Score
3385
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 10:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1318
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
1586
294.9 IPS |
|
|
Image Classification (Q)
|
96% |
1206
225.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1763
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4522
5.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
10608
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9063
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1349
107.0 IPS |
|
|
Object Detection (HP)
|
97% |
2065
164.4 IPS |
|
|
Object Detection (Q)
|
94% |
1449
115.5 IPS |
|
|
Face Detection (SP)
|
100% |
1934
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
3866
45.9 IPS |
|
|
Face Detection (Q)
|
100% |
2268
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4571
35.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
7659
59.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
5366
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12175
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21101
27.1 IPS |
|
|
Style Transfer (Q)
|
96% |
17194
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3219
118.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3916
144.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2979
110.0 IPS |
|
|
Text Classification (SP)
|
100% |
2105
2.81 KIPS |
|
|
Text Classification (HP)
|
99% |
3931
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3655
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2330
40.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3027
52.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3111
53.8 IPS |
