iPhone 14 Pro Max
Geekbench AI Score
3438
Single Precision Score
6237
Half Precision Score
5104
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 28 2025 10:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1355
252.1 IPS |
|
|
Image Classification (HP)
|
100% |
2612
485.7 IPS |
|
|
Image Classification (Q)
|
96% |
1807
337.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2667
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6598
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
15550
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13524
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.5 IPS |
|
|
Object Detection (HP)
|
97% |
2951
234.9 IPS |
|
|
Object Detection (Q)
|
94% |
2107
168.0 IPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6081
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3487
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5817
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11456
88.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8070
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18706
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29199
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24275
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3866
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5132
189.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3903
144.1 IPS |
|
|
Text Classification (SP)
|
100% |
2779
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4758
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4725
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3387
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7056
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6944
120.0 IPS |
