iPhone 16 Pro Max
Geekbench AI Score
4657
Single Precision Score
7873
Half Precision Score
6261
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | IGeek |
| Upload Date | February 18 2026 07:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2052
381.7 IPS |
|
|
Image Classification (HP)
|
100% |
3376
627.8 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1996
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2897
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3340
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9483
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17992
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15661
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2344
185.9 IPS |
|
|
Object Detection (HP)
|
97% |
3798
302.4 IPS |
|
|
Object Detection (Q)
|
94% |
2655
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
3905
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
7539
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
4224
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8336
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14402
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9953
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20531
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37941
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31259
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5452
201.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7276
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5111
188.7 IPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
6162
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5927
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4274
73.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7418
128.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7376
127.5 IPS |
