iPhone 16 Pro Max
Geekbench AI Score
5678
Single Precision Score
6688
Half Precision Score
5958
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 29 2025 11:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2945
547.7 IPS |
|
|
Image Classification (HP)
|
100% |
2646
492.1 IPS |
|
|
Image Classification (Q)
|
97% |
2741
511.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3340
54.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4397
71.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4347
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15467
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16380
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15450
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3139
249.0 IPS |
|
|
Object Detection (HP)
|
100% |
3448
273.5 IPS |
|
|
Object Detection (Q)
|
91% |
2848
227.6 IPS |
|
|
Face Detection (SP)
|
100% |
7567
89.9 IPS |
|
|
Face Detection (HP)
|
100% |
10541
125.3 IPS |
|
|
Face Detection (Q)
|
100% |
7067
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13048
100.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14381
110.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12554
98.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32633
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39098
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
35964
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7899
291.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8347
308.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6789
250.7 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5867
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5819
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
854
14.8 IPS |
