iPhone 16 Pro Max
Geekbench AI Score
5853
Single Precision Score
6974
Half Precision Score
6585
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | rothomp3 |
| Upload Date | August 19 2025 02:37 PM |
| Views | 8 |
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% |
2923
543.5 IPS |
|
|
Image Classification (HP)
|
100% |
2780
517.0 IPS |
|
|
Image Classification (Q)
|
96% |
2948
550.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4240
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4674
75.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4414
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14645
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17420
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17120
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3013
239.0 IPS |
|
|
Object Detection (HP)
|
100% |
3339
264.9 IPS |
|
|
Object Detection (Q)
|
92% |
3162
252.4 IPS |
|
|
Face Detection (SP)
|
100% |
6961
82.7 IPS |
|
|
Face Detection (HP)
|
100% |
10350
123.0 IPS |
|
|
Face Detection (Q)
|
100% |
8010
95.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12694
97.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15155
116.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
14288
111.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30718
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39055
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38277
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7390
272.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8233
304.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6955
256.8 IPS |
|
|
Text Classification (SP)
|
100% |
3665
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6144
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6082
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1176
20.3 IPS |
