iPhone 16 Pro Max
Geekbench AI Score
5994
Single Precision Score
7178
Half Precision Score
6778
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Oleksandr |
| Upload Date | November 18 2025 01:53 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
3030
563.6 IPS |
|
|
Image Classification (HP)
|
100% |
3071
571.2 IPS |
|
|
Image Classification (Q)
|
96% |
3172
592.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4355
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4935
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4739
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14952
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18201
21.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17340
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3133
248.5 IPS |
|
|
Object Detection (HP)
|
100% |
3413
270.7 IPS |
|
|
Object Detection (Q)
|
92% |
3229
257.7 IPS |
|
|
Face Detection (SP)
|
100% |
7297
86.7 IPS |
|
|
Face Detection (HP)
|
100% |
10478
124.5 IPS |
|
|
Face Detection (Q)
|
100% |
8261
98.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12823
98.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15201
117.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
13900
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31126
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39073
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38756
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7434
274.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8236
304.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6952
256.7 IPS |
|
|
Text Classification (SP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6152
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6211
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1266
21.9 IPS |
