iPhone 16 Pro Max
Geekbench AI Score
4587
Single Precision Score
7805
Half Precision Score
6192
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 29 2025 04:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
3420
636.1 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2866
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3346
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9181
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18253
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15324
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
97% |
3783
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2633
209.8 IPS |
|
|
Face Detection (SP)
|
100% |
3848
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7423
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4118
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8045
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14171
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9779
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20150
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37616
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30472
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5306
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7304
269.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5158
190.4 IPS |
|
|
Text Classification (SP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5886
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5840
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4232
72.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7292
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7299
126.1 IPS |
