iPhone 16 Pro Max
Geekbench AI Score
4457
Single Precision Score
7569
Half Precision Score
6074
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 12 2025 05:43 PM |
| Views | 3 |
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% |
1991
370.2 IPS |
|
|
Image Classification (HP)
|
100% |
3459
643.3 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1729
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2758
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3239
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8682
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17298
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14942
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2294
181.9 IPS |
|
|
Object Detection (HP)
|
97% |
3661
291.4 IPS |
|
|
Object Detection (Q)
|
94% |
2610
208.0 IPS |
|
|
Face Detection (SP)
|
100% |
3496
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6759
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3896
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7930
61.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13519
104.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9428
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21329
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37368
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30329
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5280
194.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7073
261.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4994
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
3625
4.84 KIPS |
|
|
Text Classification (HP)
|
99% |
5946
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5903
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3987
68.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7122
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7141
123.4 IPS |
