iPhone 14 Pro Max
Geekbench AI Score
3377
Single Precision Score
21242
Half Precision Score
25040
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 03:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
6962
1.29 KIPS |
|
|
Image Classification (Q)
|
97% |
11033
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15046
243.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18960
307.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6321
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
94223
109.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
101868
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.2 IPS |
|
|
Object Detection (HP)
|
100% |
12474
989.5 IPS |
|
|
Object Detection (Q)
|
91% |
12844
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
3069
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
30596
363.6 IPS |
|
|
Face Detection (Q)
|
100% |
39430
468.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5789
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
71484
550.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
78937
617.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18329
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
164250
211.1 IPS |
|
|
Style Transfer (Q)
|
96% |
164267
212.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3802
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26024
960.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34223
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2753
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2413
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3353
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7205
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8386
144.9 IPS |
