iPhone 16 Pro Max
Geekbench AI Score
4353
Single Precision Score
33501
Half Precision Score
45744
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 01:35 AM |
| Views | 1 |
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% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
14716
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
18884
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18052
292.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23549
381.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8550
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
147361
171.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
285040
334.1 IPS |
|
|
Object Detection (SP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (HP)
|
100% |
15614
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21396
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3436
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
39852
473.5 IPS |
|
|
Face Detection (Q)
|
100% |
53079
630.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7613
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94231
726.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
154872
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
20288
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
243498
313.0 IPS |
|
|
Style Transfer (Q)
|
96% |
295962
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4975
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49417
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80899
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3443
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
6040
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6068
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3888
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10676
183.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12387
214.1 IPS |
