iPhone 16 Pro Max
Geekbench AI Score
4361
Single Precision Score
7415
Half Precision Score
5932
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Outrun9430 |
| Upload Date | October 05 2025 03:43 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
3455
642.5 IPS |
|
|
Image Classification (Q)
|
96% |
2288
427.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2694
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3111
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8223
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
16436
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13984
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2187
173.5 IPS |
|
|
Object Detection (HP)
|
97% |
3628
288.8 IPS |
|
|
Object Detection (Q)
|
94% |
2507
199.8 IPS |
|
|
Face Detection (SP)
|
100% |
3499
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6638
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
3819
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7605
58.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
12749
98.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9048
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20280
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33996
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28487
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5127
189.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7023
259.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4970
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3703
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6112
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6126
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3960
68.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7331
126.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7220
124.8 IPS |
