iPhone 16 Pro Max
Geekbench AI Score
4583
Single Precision Score
7736
Half Precision Score
6156
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 05:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
3407
633.6 IPS |
|
|
Image Classification (Q)
|
96% |
2267
423.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2031
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3313
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9107
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17573
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15056
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2320
184.0 IPS |
|
|
Object Detection (HP)
|
97% |
3783
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2640
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
3931
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
7386
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4139
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7973
61.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13979
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9608
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19649
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37180
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29972
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5216
192.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7295
269.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5129
189.4 IPS |
|
|
Text Classification (SP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5965
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5909
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4231
72.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7076
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7248
125.3 IPS |
