iPhone 16 Pro Max
Geekbench AI Score
4587
Single Precision Score
7792
Half Precision Score
6238
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | maalshehri |
| Upload Date | April 10 2025 05:13 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
3373
627.2 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2932
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3370
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9218
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18617
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15894
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2196
174.2 IPS |
|
|
Object Detection (HP)
|
97% |
3812
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2689
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
3637
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
7570
90.0 IPS |
|
|
Face Detection (Q)
|
100% |
4261
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7960
61.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14398
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10076
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24455
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37702
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30908
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5630
207.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6858
253.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4959
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5908
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5904
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3813
65.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7066
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7038
121.6 IPS |
