iPhone 16 Pro Max
Geekbench AI Score
4668
Single Precision Score
7905
Half Precision Score
6288
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | weathersam |
| Upload Date | April 22 2025 07:29 AM |
| Views | 22 |
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% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
3399
632.2 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1996
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2897
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3346
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9178
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18974
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15960
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2356
186.9 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
3920
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7495
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
4237
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8335
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14490
112.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10107
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21195
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38107
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31378
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5673
209.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7336
270.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5187
191.5 IPS |
|
|
Text Classification (SP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5945
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5835
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4153
71.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7415
128.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7349
127.0 IPS |
