iPhone 16 Pro Max
Geekbench AI Score
6042
Single Precision Score
7168
Half Precision Score
6692
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Novecento |
| Upload Date | July 28 2025 07:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3004
558.7 IPS |
|
|
Image Classification (HP)
|
100% |
2837
527.7 IPS |
|
|
Image Classification (Q)
|
96% |
3160
590.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4208
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4913
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4708
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14971
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17797
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17294
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3304
262.1 IPS |
|
|
Object Detection (HP)
|
100% |
3419
271.2 IPS |
|
|
Object Detection (Q)
|
92% |
3158
252.1 IPS |
|
|
Face Detection (SP)
|
100% |
7034
83.6 IPS |
|
|
Face Detection (HP)
|
100% |
10476
124.5 IPS |
|
|
Face Detection (Q)
|
100% |
8035
95.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12882
99.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15103
116.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
13893
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31036
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39179
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
37862
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7344
271.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8246
304.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6906
255.0 IPS |
|
|
Text Classification (SP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6203
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6111
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1361
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1333
23.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1244
21.5 IPS |
