iPhone 16 Pro Max
Geekbench AI Score
4620
Single Precision Score
33014
Half Precision Score
45338
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Ksyrium |
| Upload Date | August 18 2025 06:58 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2011
374.0 IPS |
|
|
Image Classification (HP)
|
100% |
13965
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
18223
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1771
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18111
293.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23573
382.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9534
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
151852
177.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
289808
339.7 IPS |
|
|
Object Detection (SP)
|
100% |
2355
186.8 IPS |
|
|
Object Detection (HP)
|
100% |
15714
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21224
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3644
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
39193
465.7 IPS |
|
|
Face Detection (Q)
|
100% |
54505
647.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8289
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94754
730.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
151405
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
22117
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
243935
313.6 IPS |
|
|
Style Transfer (Q)
|
96% |
293806
379.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5548
204.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50515
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
94886
3.50 KIPS |
|
|
Text Classification (SP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6211
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6129
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4044
69.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8967
154.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9850
170.2 IPS |
