iPhone 16 Pro Max
Geekbench AI Score
4553
Single Precision Score
7672
Half Precision Score
6141
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 08:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1994
370.9 IPS |
|
|
Image Classification (HP)
|
100% |
3476
646.4 IPS |
|
|
Image Classification (Q)
|
96% |
2321
433.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2723
44.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3273
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9205
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17770
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15058
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (HP)
|
97% |
3712
295.5 IPS |
|
|
Object Detection (Q)
|
94% |
2620
208.8 IPS |
|
|
Face Detection (SP)
|
100% |
3601
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
6967
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
4018
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8054
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13686
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9512
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21367
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36719
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29584
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5438
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7174
264.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5059
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
3711
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6143
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6099
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4110
70.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7343
126.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7301
126.2 IPS |
