iPhone 16 Pro Max
Geekbench AI Score
5850
Single Precision Score
7023
Half Precision Score
6634
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 17 2025 10:36 AM |
| Views | 3 |
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% |
2864
532.6 IPS |
|
|
Image Classification (HP)
|
100% |
2826
525.5 IPS |
|
|
Image Classification (Q)
|
96% |
3086
576.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4251
68.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4889
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4706
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14877
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17888
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17246
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3125
247.9 IPS |
|
|
Object Detection (HP)
|
100% |
3319
263.3 IPS |
|
|
Object Detection (Q)
|
92% |
3113
248.5 IPS |
|
|
Face Detection (SP)
|
100% |
6715
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
10260
121.9 IPS |
|
|
Face Detection (Q)
|
100% |
8005
95.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12665
97.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15491
119.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14238
111.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31023
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38771
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38378
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7284
269.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8046
297.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6882
254.1 IPS |
|
|
Text Classification (SP)
|
100% |
3682
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6216
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6235
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1155
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1129
19.5 IPS |
