iPhone 16
Geekbench AI Score
1915
Single Precision Score
3162
Half Precision Score
2488
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 03:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
853
158.6 IPS |
|
|
Image Classification (HP)
|
100% |
1352
251.4 IPS |
|
|
Image Classification (Q)
|
96% |
863
161.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
800
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1385
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3925
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
8167
9.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
6914
8.10 IPS |
|
|
Object Detection (SP)
|
100% |
988
78.4 IPS |
|
|
Object Detection (HP)
|
97% |
1605
127.8 IPS |
|
|
Object Detection (Q)
|
94% |
1118
89.1 IPS |
|
|
Face Detection (SP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (Q)
|
100% |
1633
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3635
28.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
6181
47.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4263
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8948
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15833
20.4 IPS |
|
|
Style Transfer (Q)
|
96% |
13088
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2623
96.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3041
112.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2135
78.8 IPS |
|
|
Text Classification (SP)
|
100% |
1380
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2401
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2070
35.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2107
36.4 IPS |
