iPhone 16 Pro Max
Geekbench AI Score
6126
Single Precision Score
7116
Half Precision Score
6831
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 05:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2974
553.1 IPS |
|
|
Image Classification (HP)
|
100% |
2964
551.3 IPS |
|
|
Image Classification (Q)
|
96% |
3115
581.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4447
72.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4908
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4740
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15634
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17157
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17000
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3201
253.9 IPS |
|
|
Object Detection (HP)
|
100% |
3471
275.3 IPS |
|
|
Object Detection (Q)
|
92% |
3170
253.1 IPS |
|
|
Face Detection (SP)
|
100% |
7650
90.9 IPS |
|
|
Face Detection (HP)
|
100% |
10752
127.8 IPS |
|
|
Face Detection (Q)
|
100% |
8550
101.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13603
104.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14970
115.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14446
112.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33019
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38597
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38994
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8043
297.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8165
301.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7620
281.4 IPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5873
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5864
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1208
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1293
22.3 IPS |
