iPhone 14 Pro Max
Geekbench AI Score
3322
Single Precision Score
6158
Half Precision Score
5028
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 03:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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
247.1 IPS |
|
|
Image Classification (HP)
|
100% |
2606
484.7 IPS |
|
|
Image Classification (Q)
|
96% |
1798
335.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2660
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6076
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
14743
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12511
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
97% |
2930
233.3 IPS |
|
|
Object Detection (Q)
|
94% |
2091
166.7 IPS |
|
|
Face Detection (SP)
|
100% |
3032
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5954
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
3449
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5736
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11491
88.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7996
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17667
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28722
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23738
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3731
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5159
190.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3874
143.0 IPS |
|
|
Text Classification (SP)
|
100% |
2761
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4714
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4728
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6937
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6884
119.0 IPS |
