iPhone 16 Pro Max
Geekbench AI Score
6158
Single Precision Score
7249
Half Precision Score
6778
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 07 2025 03:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2995
557.0 IPS |
|
|
Image Classification (HP)
|
100% |
3134
582.9 IPS |
|
|
Image Classification (Q)
|
96% |
3150
588.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4445
72.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4941
80.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4744
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15787
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17316
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17137
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3236
256.7 IPS |
|
|
Object Detection (HP)
|
100% |
3697
293.2 IPS |
|
|
Object Detection (Q)
|
92% |
3184
254.2 IPS |
|
|
Face Detection (SP)
|
100% |
7843
93.2 IPS |
|
|
Face Detection (HP)
|
100% |
10814
128.5 IPS |
|
|
Face Detection (Q)
|
100% |
8563
101.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13551
104.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14972
115.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14066
109.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33335
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40700
52.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38783
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8068
297.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8344
308.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7558
279.1 IPS |
|
|
Text Classification (SP)
|
100% |
3368
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5896
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5852
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1216
21.0 IPS |
