iPhone 16 Pro Max
Geekbench AI Score
4525
Single Precision Score
7754
Half Precision Score
6144
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | shagger1111 |
| Upload Date | August 04 2025 04:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2068
384.5 IPS |
|
|
Image Classification (HP)
|
100% |
3394
631.2 IPS |
|
|
Image Classification (Q)
|
96% |
2266
423.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2852
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3323
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8923
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17634
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14848
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2290
181.6 IPS |
|
|
Object Detection (HP)
|
97% |
3781
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2616
208.5 IPS |
|
|
Face Detection (SP)
|
100% |
3752
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
7364
87.5 IPS |
|
|
Face Detection (Q)
|
100% |
4106
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8066
62.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14194
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9553
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19847
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36846
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30120
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5197
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7303
269.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5147
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5965
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5903
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4133
71.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7261
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7306
126.3 IPS |
