iPhone 16 Pro Max
Geekbench AI Score
5922
Single Precision Score
7042
Half Precision Score
6665
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 08:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2849
529.8 IPS |
|
|
Image Classification (HP)
|
100% |
2644
491.7 IPS |
|
|
Image Classification (Q)
|
96% |
3038
567.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4367
70.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4910
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4733
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14977
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17565
20.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
17197
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3111
246.8 IPS |
|
|
Object Detection (HP)
|
100% |
3692
292.9 IPS |
|
|
Object Detection (Q)
|
92% |
3166
252.7 IPS |
|
|
Face Detection (SP)
|
100% |
7123
84.6 IPS |
|
|
Face Detection (HP)
|
100% |
10520
125.0 IPS |
|
|
Face Detection (Q)
|
100% |
8341
99.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12764
98.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15111
116.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
14444
112.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31582
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40992
52.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38865
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7385
272.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8145
300.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7181
265.2 IPS |
|
|
Text Classification (SP)
|
100% |
3350
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
5783
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5817
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1131
19.5 IPS |
