iPhone 14 Pro Max
Geekbench AI Score
3396
Single Precision Score
22369
Half Precision Score
26106
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 03:55 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% |
9605
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
11229
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14327
232.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18918
306.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6564
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
98802
115.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102853
120.6 IPS |
|
|
Object Detection (SP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (HP)
|
100% |
12333
978.2 IPS |
|
|
Object Detection (Q)
|
91% |
13913
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
25844
307.1 IPS |
|
|
Face Detection (Q)
|
100% |
39387
468.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5756
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
71946
554.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
91098
712.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18773
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
168830
217.0 IPS |
|
|
Style Transfer (Q)
|
96% |
171056
220.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3849
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31109
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36277
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2780
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2656
3.55 KIPS |
|
|
Text Classification (Q)
|
93% |
2659
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7214
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8172
141.2 IPS |
