iPhone 16 Pro Max
Geekbench AI Score
4578
Single Precision Score
32999
Half Precision Score
44646
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | December 30 2025 10:32 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1975
367.3 IPS |
|
|
Image Classification (HP)
|
100% |
13468
2.50 KIPS |
|
|
Image Classification (Q)
|
97% |
18445
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18129
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23399
379.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8974
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
151617
176.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
287673
337.2 IPS |
|
|
Object Detection (SP)
|
100% |
2352
186.6 IPS |
|
|
Object Detection (HP)
|
100% |
15531
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21287
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3621
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
40279
478.6 IPS |
|
|
Face Detection (Q)
|
100% |
53342
633.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8152
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94251
726.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
152687
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
21758
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244299
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
294396
379.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5461
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51156
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79159
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6152
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6116
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4069
70.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9125
157.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10257
177.3 IPS |
