iPhone 16 Pro
Geekbench AI Score
4639
Single Precision Score
7782
Half Precision Score
6215
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 08:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2042
379.7 IPS |
|
|
Image Classification (HP)
|
100% |
3453
642.2 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2819
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3318
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9202
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18143
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15196
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
97% |
3728
296.8 IPS |
|
|
Object Detection (Q)
|
94% |
2618
208.7 IPS |
|
|
Face Detection (SP)
|
100% |
3754
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
7085
84.2 IPS |
|
|
Face Detection (Q)
|
100% |
4097
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8180
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13840
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9722
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22218
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37508
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30289
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5419
200.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7177
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5005
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3690
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6192
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6081
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4156
71.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7575
130.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7631
131.9 IPS |
