iPhone 16 Pro Max
Geekbench AI Score
4352
Single Precision Score
7418
Half Precision Score
5942
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 03:28 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1981
368.4 IPS |
|
|
Image Classification (HP)
|
100% |
3410
634.1 IPS |
|
|
Image Classification (Q)
|
96% |
2304
430.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2782
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3182
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8508
9.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
16742
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14258
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2251
178.5 IPS |
|
|
Object Detection (HP)
|
97% |
3581
285.1 IPS |
|
|
Object Detection (Q)
|
94% |
2552
203.4 IPS |
|
|
Face Detection (SP)
|
100% |
3457
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
6616
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3779
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7606
58.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13103
101.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9059
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20177
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34485
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28268
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4974
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7065
260.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4983
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6100
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6111
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3878
66.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6891
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6985
120.7 IPS |
