iPhone 16 Pro Max
Geekbench AI Score
4667
Single Precision Score
7863
Half Precision Score
6279
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 20 2025 08:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
3421
636.2 IPS |
|
|
Image Classification (Q)
|
96% |
2285
426.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2840
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3340
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9514
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18689
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15851
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2356
186.9 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2657
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
3937
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
7520
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4215
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8376
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14436
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10105
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20820
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37341
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31008
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5383
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7331
270.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5118
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
3399
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5931
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5921
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4273
73.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7462
128.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7408
128.0 IPS |
