iPhone 16
Geekbench AI Score
4410
Single Precision Score
7469
Half Precision Score
5939
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Paddie37 |
| Upload Date | June 17 2025 01:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2039
379.2 IPS |
|
|
Image Classification (HP)
|
100% |
3303
614.3 IPS |
|
|
Image Classification (Q)
|
96% |
2251
420.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1786
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2772
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3247
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8523
9.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
17332
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14627
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2286
181.3 IPS |
|
|
Object Detection (HP)
|
97% |
3717
295.9 IPS |
|
|
Object Detection (Q)
|
94% |
2566
204.6 IPS |
|
|
Face Detection (SP)
|
100% |
3556
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6852
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3918
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7745
59.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13609
105.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9394
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20125
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37042
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28931
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5334
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7021
259.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5040
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5998
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5933
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6300
108.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6260
108.2 IPS |
