iPhone 16 Pro Max
Geekbench AI Score
2041
Single Precision Score
15430
Half Precision Score
21561
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 21 2025 07:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
881
163.9 IPS |
|
|
Image Classification (HP)
|
100% |
7886
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
10936
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8636
140.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11882
192.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4519
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
62447
72.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
122642
143.7 IPS |
|
|
Object Detection (SP)
|
100% |
1036
82.1 IPS |
|
|
Object Detection (HP)
|
100% |
7465
592.1 IPS |
|
|
Object Detection (Q)
|
91% |
10520
840.6 IPS |
|
|
Face Detection (SP)
|
100% |
1723
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
19461
231.2 IPS |
|
|
Face Detection (Q)
|
100% |
27930
331.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3680
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
42297
325.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
70800
553.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9339
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
111565
143.4 IPS |
|
|
Style Transfer (Q)
|
96% |
144893
187.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2669
98.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25962
958.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37252
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
1376
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1964
2.62 KIPS |
|
|
Text Classification (Q)
|
93% |
2293
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1679
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5146
88.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5292
91.5 IPS |
