iPhone 16 Pro Max
Geekbench AI Score
4689
Single Precision Score
33223
Half Precision Score
45782
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 09:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2061
383.3 IPS |
|
|
Image Classification (HP)
|
100% |
15228
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20460
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18292
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24009
389.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9686
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153758
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292816
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2363
187.4 IPS |
|
|
Object Detection (HP)
|
100% |
16446
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22471
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3929
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
41180
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
58431
694.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8366
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
96018
739.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
159662
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21087
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
246669
317.1 IPS |
|
|
Style Transfer (Q)
|
96% |
302378
390.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5652
208.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51839
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87295
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4460
5.95 KIPS |
|
|
Text Classification (Q)
|
93% |
4438
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4188
72.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10316
177.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11454
197.9 IPS |
