iPhone 16 Pro Max
Geekbench AI Score
6056
Single Precision Score
6901
Half Precision Score
6796
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 09:47 AM |
| 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% |
2958
550.2 IPS |
|
|
Image Classification (HP)
|
100% |
2151
400.0 IPS |
|
|
Image Classification (Q)
|
96% |
3121
582.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4379
71.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4894
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4742
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15563
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17197
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17088
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3081
244.4 IPS |
|
|
Object Detection (HP)
|
100% |
3407
270.3 IPS |
|
|
Object Detection (Q)
|
92% |
3133
250.1 IPS |
|
|
Face Detection (SP)
|
100% |
7681
91.3 IPS |
|
|
Face Detection (HP)
|
100% |
11018
130.9 IPS |
|
|
Face Detection (Q)
|
100% |
8753
104.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13938
107.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15590
120.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
13913
108.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32134
41.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39403
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39626
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7849
289.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8097
299.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7525
277.9 IPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5904
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5854
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1249
21.6 IPS |
