iPhone 14 Pro Max
Geekbench AI Score
3355
Single Precision Score
6174
Half Precision Score
5061
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 10:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
2612
485.8 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2659
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6240
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
15188
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12988
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1437
114.0 IPS |
|
|
Object Detection (HP)
|
97% |
2901
230.9 IPS |
|
|
Object Detection (Q)
|
94% |
2087
166.4 IPS |
|
|
Face Detection (SP)
|
100% |
3032
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5916
70.3 IPS |
|
|
Face Detection (Q)
|
100% |
3432
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5759
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11500
88.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8021
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17891
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28605
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23958
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3806
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5365
198.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3879
143.2 IPS |
|
|
Text Classification (SP)
|
100% |
2814
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4813
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4896
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3306
56.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6547
113.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6749
116.6 IPS |
