iPhone 16 Pro Max
Geekbench AI Score
4628
Single Precision Score
7812
Half Precision Score
6241
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 09:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
3405
633.3 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2866
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3340
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9411
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18262
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15466
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
97% |
3732
297.1 IPS |
|
|
Object Detection (Q)
|
94% |
2644
210.7 IPS |
|
|
Face Detection (SP)
|
100% |
3849
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7393
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4163
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8264
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14409
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9996
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20153
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37309
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30653
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5435
200.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7315
270.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5179
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5903
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5914
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4191
72.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7422
128.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7363
127.2 IPS |
