iPhone 16 Pro
Geekbench AI Score
3731
Single Precision Score
6437
Half Precision Score
5316
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 10:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1958
364.2 IPS |
|
|
Image Classification (HP)
|
100% |
3377
628.0 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2684
43.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3064
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8049
9.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
16435
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14277
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1748
138.6 IPS |
|
|
Object Detection (HP)
|
97% |
2770
220.5 IPS |
|
|
Object Detection (Q)
|
94% |
1860
148.2 IPS |
|
|
Face Detection (SP)
|
100% |
2555
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
4669
55.5 IPS |
|
|
Face Detection (Q)
|
100% |
3109
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5072
39.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
11670
90.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6832
53.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13307
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20649
26.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23935
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4763
175.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6485
239.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4680
172.8 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5848
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5898
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3780
65.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6944
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6957
120.2 IPS |
