iPhone 16 Pro Max
Geekbench AI Score
4331
Single Precision Score
32994
Half Precision Score
44683
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 13 2026 03:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1941
361.0 IPS |
|
|
Image Classification (HP)
|
100% |
14299
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
18305
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1725
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18032
292.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23609
382.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7877
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
141538
165.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
277156
324.8 IPS |
|
|
Object Detection (SP)
|
100% |
2173
172.3 IPS |
|
|
Object Detection (HP)
|
100% |
16091
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
21893
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
3479
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
40104
476.5 IPS |
|
|
Face Detection (Q)
|
100% |
54278
644.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7595
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
93377
719.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
152290
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
20137
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244157
313.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297343
383.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5118
189.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51307
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79174
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3702
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6106
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6099
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4022
69.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9091
156.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10196
176.2 IPS |
