iPhone 16 Pro Max
Geekbench AI Score
4581
Single Precision Score
7797
Half Precision Score
6193
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 01:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
3435
638.8 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3345
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9317
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18182
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15321
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2315
183.6 IPS |
|
|
Object Detection (HP)
|
97% |
3749
298.4 IPS |
|
|
Object Detection (Q)
|
94% |
2641
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
3857
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
7467
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4133
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8018
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14137
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9739
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19390
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37332
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30259
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5351
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7265
268.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5079
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5892
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5981
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4237
73.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7320
126.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7296
126.1 IPS |
