iPhone 14 Pro Max
Geekbench AI Score
3391
Single Precision Score
23206
Half Precision Score
26490
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | PGSCOM |
| Upload Date | January 20 2026 01:26 PM |
| Views | 8 |
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% |
1330
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
9337
1.74 KIPS |
|
|
Image Classification (Q)
|
97% |
11662
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15665
253.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19040
308.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6506
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
101171
118.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
103172
120.9 IPS |
|
|
Object Detection (SP)
|
100% |
1467
116.4 IPS |
|
|
Object Detection (HP)
|
100% |
12818
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14195
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
29689
352.8 IPS |
|
|
Face Detection (Q)
|
100% |
39516
469.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5742
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
71417
550.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
90865
710.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18475
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
169789
218.3 IPS |
|
|
Style Transfer (Q)
|
96% |
169355
218.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3841
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32468
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35066
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2761
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2897
3.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2966
3.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7053
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8275
143.0 IPS |
