iPhone 16 Pro Max
Geekbench AI Score
6150
Single Precision Score
7136
Half Precision Score
6745
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | shagger1111 |
| Upload Date | August 04 2025 04:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
3029
563.3 IPS |
|
|
Image Classification (HP)
|
100% |
2930
544.9 IPS |
|
|
Image Classification (Q)
|
96% |
3106
579.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4377
70.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4879
79.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4694
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15568
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16726
19.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16647
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
3346
265.4 IPS |
|
|
Object Detection (HP)
|
100% |
3676
291.6 IPS |
|
|
Object Detection (Q)
|
92% |
3143
250.9 IPS |
|
|
Face Detection (SP)
|
100% |
7580
90.1 IPS |
|
|
Face Detection (HP)
|
100% |
10591
125.8 IPS |
|
|
Face Detection (Q)
|
100% |
8521
101.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13351
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14845
114.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
13839
108.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32484
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40275
51.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38897
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8006
295.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8195
302.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7568
279.5 IPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5952
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5863
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1263
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1256
21.7 IPS |
