iPhone 14 Pro Max
Geekbench AI Score
3219
Single Precision Score
4874
Half Precision Score
4227
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Lemondresser |
| Upload Date | December 10 2025 05:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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 | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1447
269.1 IPS |
|
|
Image Classification (HP)
|
100% |
1901
353.5 IPS |
|
|
Image Classification (Q)
|
96% |
1464
273.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1221
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1845
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6386
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
14506
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12582
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2270
180.7 IPS |
|
|
Object Detection (Q)
|
94% |
1739
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
2761
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
4502
53.5 IPS |
|
|
Face Detection (Q)
|
100% |
2906
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5512
42.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
8691
67.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6541
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17482
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26839
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22472
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3867
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4865
179.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3682
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
2568
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4397
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4362
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2541
43.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4407
76.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4492
77.6 IPS |
