iPhone 16
Geekbench AI Score
4338
Single Precision Score
7298
Half Precision Score
5813
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 01:01 AM |
| Views | 5 |
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% |
2048
380.8 IPS |
|
|
Image Classification (HP)
|
100% |
3270
608.2 IPS |
|
|
Image Classification (Q)
|
96% |
2228
416.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1786
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2749
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3155
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8332
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
16776
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14135
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2214
175.6 IPS |
|
|
Object Detection (HP)
|
97% |
3625
288.6 IPS |
|
|
Object Detection (Q)
|
94% |
2504
199.6 IPS |
|
|
Face Detection (SP)
|
100% |
3394
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
6604
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
3729
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7448
57.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13109
101.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9001
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19361
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33813
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27730
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4984
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6995
258.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4838
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6227
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6211
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3890
67.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6151
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6340
109.6 IPS |
