iPhone 16 Pro Max
Geekbench AI Score
5880
Single Precision Score
6980
Half Precision Score
6644
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | July 01 2025 04:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2955
549.5 IPS |
|
|
Image Classification (HP)
|
100% |
2865
532.8 IPS |
|
|
Image Classification (Q)
|
96% |
3084
576.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4222
68.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4903
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4725
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14894
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17989
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17214
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3075
243.9 IPS |
|
|
Object Detection (HP)
|
100% |
3255
258.2 IPS |
|
|
Object Detection (Q)
|
92% |
3180
253.9 IPS |
|
|
Face Detection (SP)
|
100% |
6543
77.7 IPS |
|
|
Face Detection (HP)
|
100% |
10087
119.9 IPS |
|
|
Face Detection (Q)
|
100% |
8021
95.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12702
97.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15147
116.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
14129
110.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30985
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39031
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38550
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7618
281.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8149
300.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6954
256.8 IPS |
|
|
Text Classification (SP)
|
100% |
3578
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
5853
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5794
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1194
20.6 IPS |
