iPhone 16 Pro Max
Geekbench AI Score
4620
Single Precision Score
5149
Half Precision Score
5191
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 03 2025 12:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2925
543.9 IPS |
|
|
Image Classification (HP)
|
100% |
2396
445.5 IPS |
|
|
Image Classification (Q)
|
96% |
3138
585.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4200
68.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4591
74.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2816
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7201
8.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
8227
9.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
9554
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
2090
165.8 IPS |
|
|
Object Detection (HP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (Q)
|
92% |
2304
183.9 IPS |
|
|
Face Detection (SP)
|
100% |
6773
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
7380
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
6475
76.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10186
78.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9573
73.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13552
105.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24357
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24465
31.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23275
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5819
214.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5997
221.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6244
230.6 IPS |
|
|
Text Classification (SP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4343
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4556
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1259
21.8 IPS |
