iPhone 16 Pro Max
Geekbench AI Score
4591
Single Precision Score
33116
Half Precision Score
44731
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 05:38 PM |
| Views | 2 |
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% |
1978
367.9 IPS |
|
|
Image Classification (HP)
|
100% |
14273
2.65 KIPS |
|
|
Image Classification (Q)
|
97% |
18371
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18105
293.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23348
378.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9226
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
151944
177.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
290043
339.9 IPS |
|
|
Object Detection (SP)
|
100% |
2350
186.4 IPS |
|
|
Object Detection (HP)
|
100% |
15548
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21275
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3646
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
39450
468.7 IPS |
|
|
Face Detection (Q)
|
100% |
53881
640.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8280
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94419
727.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
156476
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
22462
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244942
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
294908
380.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5466
201.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50918
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78258
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6188
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6171
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4062
70.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9039
155.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10092
174.4 IPS |
