iPhone 14 Pro Max
Geekbench AI Score
3424
Single Precision Score
6239
Half Precision Score
5130
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TTV |
| Upload Date | September 27 2025 06:49 PM |
| Views | 9 |
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% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
2627
488.6 IPS |
|
|
Image Classification (Q)
|
96% |
1820
339.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2668
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6580
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
15462
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13302
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
97% |
2934
233.6 IPS |
|
|
Object Detection (Q)
|
94% |
2106
167.9 IPS |
|
|
Face Detection (SP)
|
100% |
3129
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6034
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3485
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6029
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11763
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8225
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18629
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29110
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24282
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3886
143.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5094
188.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3908
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
2786
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4811
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4865
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3376
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6996
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7018
121.3 IPS |
