iPhone 16
Geekbench AI Score
4307
Single Precision Score
7475
Half Precision Score
5945
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | imaginebox |
| Upload Date | January 04 2025 07:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1951
362.9 IPS |
|
|
Image Classification (HP)
|
100% |
3214
597.6 IPS |
|
|
Image Classification (Q)
|
96% |
2199
410.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1787
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2915
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3260
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8644
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18000
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15162
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2109
167.3 IPS |
|
|
Object Detection (HP)
|
97% |
3731
297.0 IPS |
|
|
Object Detection (Q)
|
94% |
2604
207.6 IPS |
|
|
Face Detection (SP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6932
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
3996
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7494
57.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13848
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9643
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22456
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36938
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29816
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5206
192.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6781
250.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4824
178.1 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6074
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5931
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3592
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5929
102.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5932
102.5 IPS |
