iPhone 16
Geekbench AI Score
4669
Single Precision Score
4841
Half Precision Score
4819
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 08 2025 07:04 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1208
224.7 IPS |
|
|
Image Classification (HP)
|
100% |
828
153.9 IPS |
|
|
Image Classification (Q)
|
96% |
939
175.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3862
62.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4058
65.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3924
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13557
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13883
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13842
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1833
145.4 IPS |
|
|
Object Detection (HP)
|
100% |
1595
126.5 IPS |
|
|
Object Detection (Q)
|
92% |
1677
133.9 IPS |
|
|
Face Detection (SP)
|
100% |
7531
89.5 IPS |
|
|
Face Detection (HP)
|
100% |
9503
112.9 IPS |
|
|
Face Detection (Q)
|
100% |
7434
88.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12079
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12566
96.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
11156
87.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29467
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31532
40.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31743
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4466
164.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3664
135.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4364
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3403
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5967
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5922
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1161
20.1 IPS |
