iPhone 16 Pro Max
Geekbench AI Score
5962
Single Precision Score
6985
Half Precision Score
6704
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 18 2025 08:11 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
3018
561.3 IPS |
|
|
Image Classification (HP)
|
100% |
2634
489.8 IPS |
|
|
Image Classification (Q)
|
96% |
3177
593.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4272
69.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4891
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4719
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14931
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17781
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17346
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3071
243.6 IPS |
|
|
Object Detection (HP)
|
100% |
3367
267.1 IPS |
|
|
Object Detection (Q)
|
92% |
3194
255.0 IPS |
|
|
Face Detection (SP)
|
100% |
6985
83.0 IPS |
|
|
Face Detection (HP)
|
100% |
10361
123.1 IPS |
|
|
Face Detection (Q)
|
100% |
7992
95.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12739
98.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15093
116.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13697
107.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31464
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38949
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38664
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7418
273.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8246
304.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7029
259.5 IPS |
|
|
Text Classification (SP)
|
100% |
3772
5.03 KIPS |
|
|
Text Classification (HP)
|
99% |
6089
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6208
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1196
20.7 IPS |
