iPhone 16 Pro Max
Geekbench AI Score
4639
Single Precision Score
7868
Half Precision Score
6269
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 07 2025 01:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2036
378.6 IPS |
|
|
Image Classification (HP)
|
100% |
3410
634.1 IPS |
|
|
Image Classification (Q)
|
96% |
2287
427.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2941
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3347
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9274
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18556
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15792
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2332
185.0 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
3944
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7512
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4218
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8177
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14314
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10040
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20701
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37300
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31054
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5480
202.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7285
269.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5096
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
3404
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5908
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5867
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4233
72.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7411
128.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7423
128.3 IPS |
