iPhone 16 Pro Max
Geekbench AI Score
5892
Single Precision Score
7138
Half Precision Score
6670
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 01:29 AM |
| Views | 1 |
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% |
2812
523.0 IPS |
|
|
Image Classification (HP)
|
100% |
3155
586.7 IPS |
|
|
Image Classification (Q)
|
96% |
3117
582.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4325
70.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4903
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4728
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15072
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17714
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16530
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2986
236.8 IPS |
|
|
Object Detection (HP)
|
100% |
3358
266.4 IPS |
|
|
Object Detection (Q)
|
92% |
3386
270.3 IPS |
|
|
Face Detection (SP)
|
100% |
7138
84.8 IPS |
|
|
Face Detection (HP)
|
100% |
10418
123.8 IPS |
|
|
Face Detection (Q)
|
100% |
8047
95.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12683
97.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15430
118.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13811
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31505
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39079
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
37429
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7348
271.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8153
301.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7012
258.9 IPS |
|
|
Text Classification (SP)
|
100% |
3671
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6127
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6089
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1191
20.6 IPS |
