iPhone 16 Pro Max
Geekbench AI Score
6215
Single Precision Score
7142
Half Precision Score
6851
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mamiyoshi |
| Upload Date | April 28 2025 02:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3053
567.7 IPS |
|
|
Image Classification (HP)
|
100% |
2777
516.4 IPS |
|
|
Image Classification (Q)
|
96% |
3166
591.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4497
72.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4963
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4795
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15745
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17116
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17052
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3406
270.2 IPS |
|
|
Object Detection (HP)
|
100% |
3722
295.2 IPS |
|
|
Object Detection (Q)
|
92% |
3348
267.3 IPS |
|
|
Face Detection (SP)
|
100% |
7685
91.3 IPS |
|
|
Face Detection (HP)
|
100% |
10825
128.6 IPS |
|
|
Face Detection (Q)
|
100% |
8541
101.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13801
106.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15549
119.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
14126
110.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33051
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38792
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38831
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8036
296.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8249
304.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7572
279.6 IPS |
|
|
Text Classification (SP)
|
100% |
3368
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5839
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5873
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1263
21.8 IPS |
