iPhone 16 Pro Max
Geekbench AI Score
6155
Single Precision Score
6962
Half Precision Score
6709
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 07 2025 01:08 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
3012
560.1 IPS |
|
|
Image Classification (HP)
|
100% |
2562
476.4 IPS |
|
|
Image Classification (Q)
|
96% |
3139
586.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4439
72.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4943
80.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4776
77.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15698
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16505
19.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
15973
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3239
256.9 IPS |
|
|
Object Detection (HP)
|
100% |
3497
277.4 IPS |
|
|
Object Detection (Q)
|
92% |
3205
255.8 IPS |
|
|
Face Detection (SP)
|
100% |
7721
91.7 IPS |
|
|
Face Detection (HP)
|
100% |
10569
125.6 IPS |
|
|
Face Detection (Q)
|
100% |
8337
99.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13560
104.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14632
112.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
13583
106.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33340
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39195
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
37565
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8072
298.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8470
312.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7507
277.2 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5928
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5907
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1277
22.1 IPS |
