iPhone 14 Pro Max
Geekbench AI Score
3360
Single Precision Score
22676
Half Precision Score
26089
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 08:11 PM |
| Views | 1 |
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% |
1329
247.2 IPS |
|
|
Image Classification (HP)
|
100% |
9505
1.77 KIPS |
|
|
Image Classification (Q)
|
97% |
10956
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15794
256.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18984
307.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6348
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
98136
114.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
101342
118.8 IPS |
|
|
Object Detection (SP)
|
100% |
1432
113.5 IPS |
|
|
Object Detection (HP)
|
100% |
12163
964.7 IPS |
|
|
Object Detection (Q)
|
91% |
13904
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
25494
302.9 IPS |
|
|
Face Detection (Q)
|
100% |
40122
476.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5665
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
72994
562.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
90300
706.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18289
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
172761
222.1 IPS |
|
|
Style Transfer (Q)
|
96% |
172547
222.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3893
143.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32030
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35323
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2738
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2750
3.67 KIPS |
|
|
Text Classification (Q)
|
93% |
2742
3.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7085
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8233
142.3 IPS |
