iPhone 16 Pro Max
Geekbench AI Score
4584
Single Precision Score
7797
Half Precision Score
6186
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 23 2025 07:38 AM |
| Views | 3 |
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% |
2048
380.8 IPS |
|
|
Image Classification (HP)
|
100% |
3394
631.2 IPS |
|
|
Image Classification (Q)
|
96% |
2281
426.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2860
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3322
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9168
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18149
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15313
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2320
184.1 IPS |
|
|
Object Detection (HP)
|
97% |
3746
298.2 IPS |
|
|
Object Detection (Q)
|
94% |
2623
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3823
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
7422
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4137
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8224
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14301
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9758
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20084
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37564
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30363
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5365
198.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7304
269.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5156
190.4 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5929
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5870
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4170
71.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7293
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7271
125.6 IPS |
