iPhone 16 Pro Max
Geekbench AI Score
5966
Single Precision Score
7240
Half Precision Score
6664
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | September 12 2025 01:09 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2999
557.8 IPS |
|
|
Image Classification (HP)
|
100% |
3172
589.8 IPS |
|
|
Image Classification (Q)
|
96% |
3125
583.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4154
67.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4846
78.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4694
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14974
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17819
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16931
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3054
242.2 IPS |
|
|
Object Detection (HP)
|
100% |
3661
290.4 IPS |
|
|
Object Detection (Q)
|
92% |
3153
251.7 IPS |
|
|
Face Detection (SP)
|
100% |
7094
84.3 IPS |
|
|
Face Detection (HP)
|
100% |
10324
122.7 IPS |
|
|
Face Detection (Q)
|
100% |
7894
93.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12925
99.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15292
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
14136
110.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30725
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38873
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38428
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7352
271.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8140
300.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7000
258.5 IPS |
|
|
Text Classification (SP)
|
100% |
3736
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6119
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6046
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1217
21.0 IPS |
