iPhone 16 Pro Max
Geekbench AI Score
5796
Single Precision Score
6996
Half Precision Score
6661
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 12:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3012
560.1 IPS |
|
|
Image Classification (HP)
|
100% |
2792
519.1 IPS |
|
|
Image Classification (Q)
|
96% |
3117
582.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3721
60.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4847
78.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4714
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14034
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16987
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16308
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
3239
256.9 IPS |
|
|
Object Detection (HP)
|
100% |
3360
266.5 IPS |
|
|
Object Detection (Q)
|
92% |
3166
252.7 IPS |
|
|
Face Detection (SP)
|
100% |
6942
82.5 IPS |
|
|
Face Detection (HP)
|
100% |
10332
122.8 IPS |
|
|
Face Detection (Q)
|
100% |
8012
95.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12729
98.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15145
116.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
13938
108.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30805
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38940
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38836
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7418
273.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8053
297.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6956
256.9 IPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6101
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6090
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1129
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1235
21.3 IPS |
