iPhone 16 Pro Max
Geekbench AI Score
4563
Single Precision Score
33043
Half Precision Score
45904
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 24 2025 05:30 PM |
| Views | 46 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
15270
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20428
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18327
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24107
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8968
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154030
179.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293286
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2174
172.4 IPS |
|
|
Object Detection (HP)
|
100% |
16272
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22478
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
41195
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
57475
682.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7800
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95060
732.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
163630
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24007
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245613
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
300775
388.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5716
211.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49778
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82965
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3489
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4783
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4800
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3769
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9661
166.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11360
196.3 IPS |
