iPhone 16 Pro Max
Geekbench AI Score
4570
Single Precision Score
7792
Half Precision Score
6208
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 02:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2053
381.7 IPS |
|
|
Image Classification (HP)
|
100% |
3401
632.5 IPS |
|
|
Image Classification (Q)
|
96% |
2281
426.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1988
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2852
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3343
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9263
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18187
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15532
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2286
181.3 IPS |
|
|
Object Detection (HP)
|
97% |
3740
297.7 IPS |
|
|
Object Detection (Q)
|
94% |
2617
208.6 IPS |
|
|
Face Detection (SP)
|
100% |
3845
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7411
88.1 IPS |
|
|
Face Detection (Q)
|
100% |
4154
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8128
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14348
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9748
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19411
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37102
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30737
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5320
196.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7282
268.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5126
189.3 IPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5932
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5887
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4236
73.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7339
126.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7309
126.3 IPS |
