iPhone 16 Pro Max
Geekbench AI Score
4323
Single Precision Score
33539
Half Precision Score
45248
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | rothomp3 |
| Upload Date | July 30 2025 02:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1782
331.4 IPS |
|
|
Image Classification (HP)
|
100% |
13943
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
18088
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17699
286.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22914
371.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7283
8.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
143886
167.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
289022
338.8 IPS |
|
|
Object Detection (SP)
|
100% |
2267
179.8 IPS |
|
|
Object Detection (HP)
|
100% |
15945
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21720
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
39629
470.9 IPS |
|
|
Face Detection (Q)
|
100% |
53069
630.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7975
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94295
726.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
155164
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
21589
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244098
313.8 IPS |
|
|
Style Transfer (Q)
|
96% |
294730
380.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5342
197.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50774
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75305
2.78 KIPS |
|
|
Text Classification (SP)
|
100% |
3728
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6317
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6166
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4025
69.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10874
187.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12270
212.0 IPS |
