iPhone 16 Pro Max
Geekbench AI Score
6111
Single Precision Score
6763
Half Precision Score
6852
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 08 2025 06:03 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% |
2939
546.5 IPS |
|
|
Image Classification (HP)
|
100% |
1693
314.8 IPS |
|
|
Image Classification (Q)
|
96% |
3104
579.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4386
71.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4896
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4731
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15591
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17072
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17143
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3148
249.7 IPS |
|
|
Object Detection (HP)
|
100% |
3399
269.6 IPS |
|
|
Object Detection (Q)
|
92% |
3385
270.2 IPS |
|
|
Face Detection (SP)
|
100% |
7804
92.7 IPS |
|
|
Face Detection (HP)
|
100% |
11026
131.0 IPS |
|
|
Face Detection (Q)
|
100% |
8703
103.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13942
107.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15562
119.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13898
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32209
41.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39282
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39622
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7972
294.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8158
301.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7522
277.7 IPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
6023
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5894
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1257
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1260
21.8 IPS |
