iPhone 16 Pro Max
Geekbench AI Score
5768
Single Precision Score
6892
Half Precision Score
6611
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | June 11 2025 06:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2899
539.2 IPS |
|
|
Image Classification (HP)
|
100% |
2735
508.5 IPS |
|
|
Image Classification (Q)
|
96% |
2893
540.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4194
68.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4843
78.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4652
75.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14664
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17252
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16842
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
3055
242.3 IPS |
|
|
Object Detection (HP)
|
100% |
3369
267.2 IPS |
|
|
Object Detection (Q)
|
92% |
3369
268.9 IPS |
|
|
Face Detection (SP)
|
100% |
7000
83.2 IPS |
|
|
Face Detection (HP)
|
100% |
10304
122.4 IPS |
|
|
Face Detection (Q)
|
100% |
8148
96.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12415
95.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14619
112.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
13764
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31228
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37982
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
37698
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7314
270.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7997
295.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6966
257.2 IPS |
|
|
Text Classification (SP)
|
100% |
3358
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5907
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5962
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1124
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1191
20.6 IPS |
