iPhone 16 Pro Max
Geekbench AI Score
4449
Single Precision Score
7599
Half Precision Score
5997
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
2042
379.8 IPS |
|
|
Image Classification (HP)
|
100% |
3395
631.3 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2842
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3279
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8701
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17123
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14270
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2247
178.2 IPS |
|
|
Object Detection (HP)
|
97% |
3700
294.6 IPS |
|
|
Object Detection (Q)
|
94% |
2539
202.4 IPS |
|
|
Face Detection (SP)
|
100% |
3734
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
7159
85.1 IPS |
|
|
Face Detection (Q)
|
100% |
3952
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7949
61.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13420
103.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9256
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18999
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35992
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29072
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5015
185.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7221
266.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4914
181.4 IPS |
|
|
Text Classification (SP)
|
100% |
3375
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5852
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5848
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4154
71.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7196
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7266
125.6 IPS |
