iPhone 16 Pro Max
Geekbench AI Score
4583
Single Precision Score
33314
Half Precision Score
44720
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 04:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
14371
2.67 KIPS |
|
|
Image Classification (Q)
|
97% |
18298
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18145
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23387
379.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8530
9.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
151392
176.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
290375
340.3 IPS |
|
|
Object Detection (SP)
|
100% |
2307
183.0 IPS |
|
|
Object Detection (HP)
|
100% |
15573
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21258
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3673
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
39728
472.1 IPS |
|
|
Face Detection (Q)
|
100% |
53125
631.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8275
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94233
726.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
150884
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
22456
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245009
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
294670
380.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5440
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50758
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82450
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3712
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6369
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6088
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4097
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9237
159.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10215
176.5 IPS |
