iPhone 16 Pro Max - 2025_0515 iPhone 16 Pro Max
Geekbench AI Score
4611
Single Precision Score
7834
Half Precision Score
6209
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Barritz |
| Upload Date | May 16 2025 02:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2075
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
3401
632.4 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2868
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3322
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9359
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18458
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15447
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2319
184.0 IPS |
|
|
Object Detection (HP)
|
97% |
3769
300.1 IPS |
|
|
Object Detection (Q)
|
94% |
2608
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
3866
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
7383
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
4183
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8121
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14237
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9768
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20260
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37307
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30458
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5376
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7285
269.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5206
192.2 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
6127
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5976
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4172
71.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7335
126.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7236
125.0 IPS |
