iPhone 16 Pro Max
Geekbench AI Score
6088
Single Precision Score
7070
Half Precision Score
6703
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | March 25 2025 03:54 PM |
| Views | 3 |
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% |
2957
549.9 IPS |
|
|
Image Classification (HP)
|
100% |
3002
558.2 IPS |
|
|
Image Classification (Q)
|
96% |
3039
567.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4433
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4945
80.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4765
77.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15681
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16395
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
15938
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3232
256.4 IPS |
|
|
Object Detection (HP)
|
100% |
3499
277.5 IPS |
|
|
Object Detection (Q)
|
92% |
3186
254.3 IPS |
|
|
Face Detection (SP)
|
100% |
7655
91.0 IPS |
|
|
Face Detection (HP)
|
100% |
10788
128.2 IPS |
|
|
Face Detection (Q)
|
100% |
8541
101.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13626
105.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14945
115.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
13559
106.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33261
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37979
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
37720
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8119
299.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8457
312.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7578
279.8 IPS |
|
|
Text Classification (SP)
|
100% |
3392
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5927
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6047
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1245
21.5 IPS |
