iPhone 14 Pro Max
Geekbench AI Score
3402
Single Precision Score
21489
Half Precision Score
24966
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 09:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1330
247.3 IPS |
|
|
Image Classification (HP)
|
100% |
9521
1.77 KIPS |
|
|
Image Classification (Q)
|
97% |
10796
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13858
224.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18862
305.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6403
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
97240
113.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
101616
119.1 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.7 IPS |
|
|
Object Detection (HP)
|
100% |
12112
960.7 IPS |
|
|
Object Detection (Q)
|
91% |
14252
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3062
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
26297
312.5 IPS |
|
|
Face Detection (Q)
|
100% |
39170
465.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5911
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
71767
552.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
89366
698.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18582
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
161460
207.6 IPS |
|
|
Style Transfer (Q)
|
96% |
162808
210.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3882
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32794
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36186
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2794
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1837
2.45 KIPS |
|
|
Text Classification (Q)
|
93% |
1892
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3379
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7362
126.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8177
141.3 IPS |
