iPhone 16 Pro Max
Geekbench AI Score
4634
Single Precision Score
7763
Half Precision Score
6237
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2049
381.0 IPS |
|
|
Image Classification (HP)
|
100% |
3460
643.4 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2821
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3306
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9580
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18616
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15740
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.0 IPS |
|
|
Object Detection (HP)
|
97% |
3722
296.3 IPS |
|
|
Object Detection (Q)
|
94% |
2608
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
3593
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
6939
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
4082
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8240
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13803
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9743
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22655
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38100
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31197
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5608
207.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7215
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5141
189.8 IPS |
|
|
Text Classification (SP)
|
100% |
3696
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6150
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6116
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4030
69.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7262
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7241
125.1 IPS |
