iPhone 16 Pro Max
Geekbench AI Score
4260
Single Precision Score
33092
Half Precision Score
44964
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | adrianclark |
| Upload Date | September 25 2025 05:25 AM |
| Views | 7 |
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% |
1972
366.7 IPS |
|
|
Image Classification (HP)
|
100% |
14696
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
18156
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1686
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18040
292.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23644
383.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7127
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
136924
159.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
265145
310.8 IPS |
|
|
Object Detection (SP)
|
100% |
2188
173.5 IPS |
|
|
Object Detection (HP)
|
100% |
15803
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
22139
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
40114
476.6 IPS |
|
|
Face Detection (Q)
|
100% |
53205
632.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7607
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
92913
715.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
157566
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
19621
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
243492
313.0 IPS |
|
|
Style Transfer (Q)
|
96% |
298186
384.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4900
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51337
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81065
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3824
5.10 KIPS |
|
|
Text Classification (HP)
|
99% |
6539
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6488
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9012
155.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10196
176.2 IPS |
