iPhone 16 Pro Max
Geekbench AI Score
4371
Single Precision Score
7434
Half Precision Score
5946
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 12:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1981
368.3 IPS |
|
|
Image Classification (HP)
|
100% |
3413
634.8 IPS |
|
|
Image Classification (Q)
|
96% |
2310
431.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1731
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2746
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3187
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8442
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
16725
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14202
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2198
174.3 IPS |
|
|
Object Detection (HP)
|
97% |
3589
285.7 IPS |
|
|
Object Detection (Q)
|
94% |
2536
202.1 IPS |
|
|
Face Detection (SP)
|
100% |
3436
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
6615
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3831
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7663
59.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13094
101.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9087
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20104
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34485
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27980
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5088
187.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6964
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4904
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6113
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6096
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4034
69.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7207
124.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7164
123.8 IPS |
