iPhone 16 Pro Max
Geekbench AI Score
4526
Single Precision Score
7749
Half Precision Score
6144
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2025 03:15 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% |
3425
637.0 IPS |
|
|
Image Classification (Q)
|
96% |
2268
423.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1979
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2862
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3350
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8852
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17667
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14926
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.0 IPS |
|
|
Object Detection (HP)
|
97% |
3800
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2607
207.8 IPS |
|
|
Face Detection (SP)
|
100% |
3784
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
7432
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4088
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7884
60.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13749
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9551
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19421
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36737
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30388
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5190
191.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7242
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4990
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6010
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6002
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4197
72.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7269
125.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7304
126.2 IPS |
