iPhone 16 Pro Max
Geekbench AI Score
4661
Single Precision Score
7871
Half Precision Score
6272
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
2056
382.4 IPS |
|
|
Image Classification (HP)
|
100% |
3379
628.5 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1992
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2866
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3351
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9492
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18804
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15700
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2346
186.1 IPS |
|
|
Object Detection (HP)
|
97% |
3795
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2657
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
3925
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7522
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4208
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8315
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14304
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10039
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20794
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37858
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31177
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5440
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7322
270.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5198
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
3399
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5932
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5892
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4232
72.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7470
129.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7349
127.0 IPS |
