iPhone 16 Pro Max
Geekbench AI Score
4521
Single Precision Score
33180
Half Precision Score
44815
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 02:30 AM |
| Views | 5 |
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% |
2015
374.7 IPS |
|
|
Image Classification (HP)
|
100% |
14332
2.67 KIPS |
|
|
Image Classification (Q)
|
97% |
18988
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18167
294.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23589
382.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8879
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
150116
175.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
289221
339.0 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
15754
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21234
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3577
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
39394
468.1 IPS |
|
|
Face Detection (Q)
|
100% |
52396
622.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8069
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94194
725.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
157030
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
21365
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244529
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
294329
379.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5165
190.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50912
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78421
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3726
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6167
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6108
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4024
69.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9219
158.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10242
177.0 IPS |
