iPhone 16 Pro Max
Geekbench AI Score
5903
Single Precision Score
7092
Half Precision Score
6626
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | ands84 |
| Upload Date | August 22 2025 01:45 PM |
| Views | 4 |
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% |
2923
543.7 IPS |
|
|
Image Classification (HP)
|
100% |
3072
571.3 IPS |
|
|
Image Classification (Q)
|
96% |
3117
582.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4290
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4904
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4709
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14889
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17895
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17238
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3020
239.5 IPS |
|
|
Object Detection (HP)
|
100% |
3376
267.8 IPS |
|
|
Object Detection (Q)
|
92% |
3173
253.2 IPS |
|
|
Face Detection (SP)
|
100% |
6943
82.5 IPS |
|
|
Face Detection (HP)
|
100% |
10183
121.0 IPS |
|
|
Face Detection (Q)
|
100% |
7947
94.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12635
97.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15077
116.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13855
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31073
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39075
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
37515
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7336
270.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8106
299.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6966
257.2 IPS |
|
|
Text Classification (SP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6145
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6088
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1160
20.0 IPS |
