iPhone 14 Pro Max
Geekbench AI Score
3394
Single Precision Score
22307
Half Precision Score
25933
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 04 2026 10:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1331
247.5 IPS |
|
|
Image Classification (HP)
|
100% |
9221
1.71 KIPS |
|
|
Image Classification (Q)
|
97% |
10996
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13426
217.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18901
306.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6409
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
96728
112.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
101683
119.2 IPS |
|
|
Object Detection (SP)
|
100% |
1470
116.6 IPS |
|
|
Object Detection (HP)
|
100% |
12283
974.3 IPS |
|
|
Object Detection (Q)
|
91% |
13944
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3091
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
26346
313.0 IPS |
|
|
Face Detection (Q)
|
100% |
39081
464.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5801
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
72204
556.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
91609
716.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18575
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
171075
219.9 IPS |
|
|
Style Transfer (Q)
|
96% |
169508
218.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3878
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32295
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35556
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2768
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2754
3.68 KIPS |
|
|
Text Classification (Q)
|
93% |
2688
3.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3356
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7168
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8050
139.1 IPS |
