iPhone 16 Pro Max
Geekbench AI Score
4574
Single Precision Score
7807
Half Precision Score
6198
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | 19jet54 |
| Upload Date | July 22 2025 01:42 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2064
383.9 IPS |
|
|
Image Classification (HP)
|
100% |
3411
634.4 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2863
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3335
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9030
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18106
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15062
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
97% |
3792
301.9 IPS |
|
|
Object Detection (Q)
|
94% |
2642
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
3867
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
7440
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
4165
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8134
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14362
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9843
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19917
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37281
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30676
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5164
190.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7276
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5052
186.5 IPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5898
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5926
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4235
73.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7339
126.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7363
127.2 IPS |
