iPhone 14 Pro Max
Geekbench AI Score
1468
Single Precision Score
14373
Half Precision Score
16224
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | atti |
| Upload Date | April 05 2026 12:54 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
595
110.7 IPS |
|
|
Image Classification (HP)
|
100% |
8655
1.61 KIPS |
|
|
Image Classification (Q)
|
97% |
9375
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
9608
155.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11576
187.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1863
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
45801
53.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
52616
61.7 IPS |
|
|
Object Detection (SP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (HP)
|
100% |
6717
532.8 IPS |
|
|
Object Detection (Q)
|
89% |
9155
732.9 IPS |
|
|
Face Detection (SP)
|
100% |
1213
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
19356
230.0 IPS |
|
|
Face Detection (Q)
|
100% |
20123
239.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2485
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35698
275.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
49177
384.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6886
8.85 IPS |
|
|
Style Transfer (HP)
|
100% |
99819
128.3 IPS |
|
|
Style Transfer (Q)
|
96% |
113934
147.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24095
889.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26503
978.6 IPS |
|
|
Text Classification (SP)
|
99% |
3109
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (Q)
|
93% |
2037
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4186
72.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3972
68.6 IPS |
