iPhone 16 Pro Max
Geekbench AI Score
4620
Single Precision Score
7846
Half Precision Score
6246
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | korneyka3000 |
| Upload Date | August 20 2025 12:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
2039
379.2 IPS |
|
|
Image Classification (HP)
|
100% |
3408
633.8 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2871
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3324
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9447
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18737
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15825
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2340
185.6 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.4 IPS |
|
|
Face Detection (SP)
|
100% |
3894
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
7400
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4187
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8327
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14473
111.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9914
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20578
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37950
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30886
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5479
202.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7321
270.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5213
192.5 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5970
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5874
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4071
70.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7150
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7267
125.6 IPS |
