iPhone 16 Pro Max
Geekbench AI Score
6109
Single Precision Score
6847
Half Precision Score
6782
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Natrep |
| Upload Date | July 05 2025 08:32 AM |
| Views | 25 |
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% |
2910
541.2 IPS |
|
|
Image Classification (HP)
|
100% |
1962
364.9 IPS |
|
|
Image Classification (Q)
|
96% |
3104
579.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4384
71.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4885
79.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4711
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15660
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17174
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
16993
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3187
252.8 IPS |
|
|
Object Detection (HP)
|
100% |
3400
269.7 IPS |
|
|
Object Detection (Q)
|
92% |
3132
250.0 IPS |
|
|
Face Detection (SP)
|
100% |
7894
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
10961
130.2 IPS |
|
|
Face Detection (Q)
|
100% |
8687
103.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14028
108.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15582
120.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
13896
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32446
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39303
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39685
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7921
292.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8192
302.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7549
278.8 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5901
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5892
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1182
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1243
21.5 IPS |
