iPhone 16 Pro Max
Geekbench AI Score
4552
Single Precision Score
33512
Half Precision Score
45082
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 11 2025 11:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2012
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
14399
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
17461
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18137
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23706
384.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9355
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
151583
176.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
289594
339.4 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.4 IPS |
|
|
Object Detection (HP)
|
100% |
15529
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21087
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3603
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
39426
468.5 IPS |
|
|
Face Detection (Q)
|
100% |
52394
622.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8173
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
93791
722.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
155198
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
22662
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244379
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
295097
380.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5310
196.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50605
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78445
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3366
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5845
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5834
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4074
70.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10875
187.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12494
215.9 IPS |
