iPhone 16 Pro Max
Geekbench AI Score
6149
Single Precision Score
6857
Half Precision Score
6956
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ajmaus |
| Upload Date | June 07 2025 11:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2963
551.0 IPS |
|
|
Image Classification (HP)
|
100% |
1783
331.5 IPS |
|
|
Image Classification (Q)
|
96% |
3072
573.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4440
72.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4922
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4789
77.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15750
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17368
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17403
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
3166
251.1 IPS |
|
|
Object Detection (HP)
|
100% |
3468
275.1 IPS |
|
|
Object Detection (Q)
|
92% |
3459
276.1 IPS |
|
|
Face Detection (SP)
|
100% |
8020
95.3 IPS |
|
|
Face Detection (HP)
|
100% |
11108
132.0 IPS |
|
|
Face Detection (Q)
|
100% |
8947
106.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14101
108.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15860
122.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
14915
116.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32321
41.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39359
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39661
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7860
290.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8212
303.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7525
277.9 IPS |
|
|
Text Classification (SP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6075
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6016
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1208
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1251
21.6 IPS |
