iPhone 16 Pro Max
Geekbench AI Score
4637
Single Precision Score
7842
Half Precision Score
6237
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justinjustus22 |
| Upload Date | June 07 2025 09:19 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
3427
637.4 IPS |
|
|
Image Classification (Q)
|
96% |
2286
426.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1992
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2861
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3345
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9356
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18596
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15625
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.0 IPS |
|
|
Object Detection (HP)
|
97% |
3780
300.9 IPS |
|
|
Object Detection (Q)
|
94% |
2633
209.9 IPS |
|
|
Face Detection (SP)
|
100% |
3906
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
7518
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4193
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8208
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14218
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9887
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20253
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37777
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30902
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5462
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7289
269.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5175
191.1 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5877
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5858
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4260
73.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7381
127.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7291
126.0 IPS |
