iPhone 16 Pro
Geekbench AI Score
4394
Single Precision Score
7475
Half Precision Score
5897
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | December 13 2025 12:28 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2027
376.9 IPS |
|
|
Image Classification (HP)
|
100% |
3444
640.5 IPS |
|
|
Image Classification (Q)
|
96% |
2294
428.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2832
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3164
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8399
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
16623
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14281
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2194
174.0 IPS |
|
|
Object Detection (HP)
|
97% |
3641
289.9 IPS |
|
|
Object Detection (Q)
|
94% |
2547
203.0 IPS |
|
|
Face Detection (SP)
|
100% |
3603
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
6960
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
3935
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7241
55.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
12558
97.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8615
67.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19563
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33237
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27299
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4939
182.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6840
252.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4490
165.8 IPS |
|
|
Text Classification (SP)
|
100% |
3807
5.08 KIPS |
|
|
Text Classification (HP)
|
99% |
6479
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6493
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4087
70.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7176
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7149
123.5 IPS |
