iPhone 16 Pro Max
Geekbench AI Score
4376
Single Precision Score
7541
Half Precision Score
6001
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 02:34 AM |
| 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% |
1981
368.4 IPS |
|
|
Image Classification (HP)
|
100% |
3435
638.8 IPS |
|
|
Image Classification (Q)
|
96% |
2317
432.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2868
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3238
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8234
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
16490
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14056
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2192
173.8 IPS |
|
|
Object Detection (HP)
|
97% |
3677
292.8 IPS |
|
|
Object Detection (Q)
|
94% |
2502
199.4 IPS |
|
|
Face Detection (SP)
|
100% |
3504
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6804
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3856
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7652
59.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13157
101.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9191
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20085
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35256
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28769
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6842
252.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4918
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
3784
5.05 KIPS |
|
|
Text Classification (HP)
|
99% |
6325
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6329
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3970
68.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7294
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7242
125.2 IPS |
