iPhone 16
Geekbench AI Score
4331
Single Precision Score
7421
Half Precision Score
5989
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | evariste |
| Upload Date | February 26 2025 02:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1962
364.9 IPS |
|
|
Image Classification (HP)
|
100% |
3240
602.5 IPS |
|
|
Image Classification (Q)
|
96% |
2208
412.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1817
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2890
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3276
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8812
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18369
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15612
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2124
168.5 IPS |
|
|
Object Detection (HP)
|
97% |
3743
298.0 IPS |
|
|
Object Detection (Q)
|
94% |
2622
209.0 IPS |
|
|
Face Detection (SP)
|
100% |
2921
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
6268
74.5 IPS |
|
|
Face Detection (Q)
|
100% |
3998
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7617
58.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14064
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9753
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23318
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37531
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30481
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5468
201.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6816
251.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4870
179.8 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5911
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5897
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3584
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5910
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5880
101.6 IPS |
