iPhone 16 Pro
Geekbench AI Score
4581
Single Precision Score
7764
Half Precision Score
6163
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 08:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
3387
629.8 IPS |
|
|
Image Classification (Q)
|
96% |
2265
422.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2855
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3317
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9051
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17837
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15090
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2285
181.3 IPS |
|
|
Object Detection (HP)
|
97% |
3773
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2641
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
3907
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
7484
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
4133
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7999
61.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14023
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9567
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19660
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36806
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30288
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5309
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7287
269.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5149
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5888
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5820
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4280
73.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7387
127.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7367
127.3 IPS |
