iPhone 16 Pro Max
Geekbench AI Score
5768
Single Precision Score
6715
Half Precision Score
6140
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 29 2024 12:48 PM |
| 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% |
2969
552.1 IPS |
|
|
Image Classification (HP)
|
100% |
2419
449.8 IPS |
|
|
Image Classification (Q)
|
97% |
2857
533.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3370
54.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4408
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4386
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15536
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16413
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15652
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3222
255.5 IPS |
|
|
Object Detection (HP)
|
100% |
3663
290.6 IPS |
|
|
Object Detection (Q)
|
91% |
3102
247.9 IPS |
|
|
Face Detection (SP)
|
100% |
7893
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
10970
130.3 IPS |
|
|
Face Detection (Q)
|
100% |
7556
89.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13903
107.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15156
116.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12255
95.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32306
41.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38156
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
36935
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7946
293.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8318
307.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6750
249.2 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5878
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5833
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
845
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
930
16.1 IPS |
