iPhone 14 Pro Max
Geekbench AI Score
3399
Single Precision Score
6229
Half Precision Score
5071
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 13 2025 02:34 AM |
| Views | 5 |
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% |
1333
247.8 IPS |
|
|
Image Classification (HP)
|
100% |
2606
484.5 IPS |
|
|
Image Classification (Q)
|
96% |
1795
335.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2669
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6595
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
15744
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13219
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (HP)
|
97% |
2954
235.2 IPS |
|
|
Object Detection (Q)
|
94% |
2119
168.9 IPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6095
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3505
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5912
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11699
90.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8188
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18703
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29187
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24263
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3836
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5210
192.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3900
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
2683
3.58 KIPS |
|
|
Text Classification (HP)
|
99% |
4523
6.04 KIPS |
|
|
Text Classification (Q)
|
93% |
4548
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6989
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6791
117.4 IPS |
