iPhone 16 Pro
Geekbench AI Score
3753
Single Precision Score
6437
Half Precision Score
5627
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 08 2025 08:50 AM |
| Views | 4 |
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% |
1725
320.9 IPS |
|
|
Image Classification (HP)
|
100% |
2625
488.3 IPS |
|
|
Image Classification (Q)
|
96% |
2116
395.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1873
30.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2941
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7819
9.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
15404
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13535
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2236
177.4 IPS |
|
|
Object Detection (HP)
|
97% |
3344
266.2 IPS |
|
|
Object Detection (Q)
|
94% |
2542
202.6 IPS |
|
|
Face Detection (SP)
|
100% |
3423
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
6523
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
3613
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5048
38.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13195
102.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8801
68.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16196
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31249
40.2 IPS |
|
|
Style Transfer (Q)
|
96% |
25978
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4159
153.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6139
226.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4704
173.7 IPS |
|
|
Text Classification (SP)
|
100% |
2822
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5370
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4254
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7350
127.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7127
123.2 IPS |
