iPhone 16 Pro Max
Geekbench AI Score
4679
Single Precision Score
7886
Half Precision Score
6292
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Oosty |
| Upload Date | September 11 2025 10:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
3399
632.0 IPS |
|
|
Image Classification (Q)
|
96% |
2285
426.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2898
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3346
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9528
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18709
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15643
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2340
185.6 IPS |
|
|
Object Detection (HP)
|
97% |
3798
302.4 IPS |
|
|
Object Detection (Q)
|
94% |
2641
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
3925
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7467
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4216
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8352
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14409
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9950
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20648
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36829
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31217
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5523
203.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7428
274.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5198
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
3450
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
6088
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6116
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4245
73.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7421
128.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7402
127.9 IPS |
