iPhone 16 Pro Max
Geekbench AI Score
4479
Single Precision Score
7570
Half Precision Score
6025
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 08:45 PM |
| Views | 2 |
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% |
2001
372.1 IPS |
|
|
Image Classification (HP)
|
100% |
3470
645.3 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2784
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3273
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8706
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17079
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14248
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2258
179.1 IPS |
|
|
Object Detection (HP)
|
97% |
3679
292.9 IPS |
|
|
Object Detection (Q)
|
94% |
2580
205.6 IPS |
|
|
Face Detection (SP)
|
100% |
3559
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6832
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3877
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7890
60.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13339
103.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9391
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21142
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35686
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28808
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5255
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7127
263.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5035
185.9 IPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6142
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6115
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4028
69.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7153
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7018
121.3 IPS |
