iPhone 16 Pro Max
Geekbench AI Score
4542
Single Precision Score
7685
Half Precision Score
6154
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | September 12 2025 01:17 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2002
372.4 IPS |
|
|
Image Classification (HP)
|
100% |
3430
637.9 IPS |
|
|
Image Classification (Q)
|
96% |
2303
430.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2808
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3269
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9097
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18053
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15045
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2299
182.3 IPS |
|
|
Object Detection (HP)
|
97% |
3725
296.6 IPS |
|
|
Object Detection (Q)
|
94% |
2626
209.3 IPS |
|
|
Face Detection (SP)
|
100% |
3565
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6845
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
4027
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8102
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13703
105.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9610
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21569
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36711
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29975
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5419
200.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7133
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5094
188.1 IPS |
|
|
Text Classification (SP)
|
100% |
3730
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6240
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6059
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4014
69.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7243
125.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7324
126.6 IPS |
