iPhone 16 Pro Max
Geekbench AI Score
4641
Single Precision Score
7876
Half Precision Score
6256
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 10:25 AM |
| Views | 2 |
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% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
3435
638.8 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3356
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9461
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18660
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15582
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2344
185.9 IPS |
|
|
Object Detection (HP)
|
97% |
3798
302.3 IPS |
|
|
Object Detection (Q)
|
94% |
2658
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
3896
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
7596
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4162
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8221
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14225
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9953
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20362
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38006
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31210
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5459
201.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7335
270.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5184
191.4 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5922
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5882
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4217
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7376
127.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7370
127.4 IPS |
