iPhone 16
Geekbench AI Score
4369
Single Precision Score
7466
Half Precision Score
5966
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 08 2025 02:32 AM |
| Views | 1 |
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% |
2029
377.3 IPS |
|
|
Image Classification (HP)
|
100% |
3235
601.6 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2821
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3238
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8681
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17743
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14816
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2267
179.9 IPS |
|
|
Object Detection (HP)
|
97% |
3712
295.5 IPS |
|
|
Object Detection (Q)
|
94% |
2597
207.0 IPS |
|
|
Face Detection (SP)
|
100% |
3525
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
6792
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3973
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7885
60.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14062
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9626
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18397
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36526
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29610
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5100
188.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7191
265.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5059
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5918
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5997
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3949
68.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6033
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6062
104.8 IPS |
