iPhone 16 Pro Max
Geekbench AI Score
4610
Single Precision Score
33407
Half Precision Score
46109
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 25 2025 01:20 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2062
383.5 IPS |
|
|
Image Classification (HP)
|
100% |
15147
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
19665
3.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18302
296.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24174
391.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9138
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153201
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
292222
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.4 IPS |
|
|
Object Detection (HP)
|
100% |
16188
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22628
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3875
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
40593
482.3 IPS |
|
|
Face Detection (Q)
|
100% |
59026
701.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8155
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95364
734.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
159640
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19983
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245776
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303043
391.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5463
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50354
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84161
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3390
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5088
6.79 KIPS |
|
|
Text Classification (Q)
|
93% |
4977
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4249
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10331
178.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11553
199.6 IPS |
