iPhone 16 Pro Max
Geekbench AI Score
4659
Single Precision Score
8085
Half Precision Score
6445
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | 19jet54 |
| Upload Date | March 19 2026 01:17 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1987
369.6 IPS |
|
|
Image Classification (HP)
|
100% |
3366
626.0 IPS |
|
|
Image Classification (Q)
|
96% |
2305
430.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1835
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2848
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3233
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7326
8.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
17571
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14735
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2362
187.4 IPS |
|
|
Object Detection (HP)
|
97% |
3677
292.7 IPS |
|
|
Object Detection (Q)
|
94% |
2616
208.5 IPS |
|
|
Face Detection (SP)
|
100% |
3906
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
6997
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
4029
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7473
57.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13691
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9561
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19471
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36819
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29463
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4745
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7187
265.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5092
188.0 IPS |
|
|
Text Classification (SP)
|
99% |
6987
9.33 KIPS |
|
|
Text Classification (HP)
|
99% |
10751
14.3 KIPS |
|
|
Text Classification (Q)
|
93% |
10705
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
4058
69.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7078
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6959
120.3 IPS |
