iPhone 14 Pro Max
Geekbench AI Score
3395
Single Precision Score
6241
Half Precision Score
5111
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | RaefAlosaimi14 |
| Upload Date | April 20 2026 04:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1331
247.6 IPS |
|
|
Image Classification (HP)
|
100% |
2636
490.2 IPS |
|
|
Image Classification (Q)
|
96% |
1810
338.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1349
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2668
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6522
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
15424
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13311
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1463
116.1 IPS |
|
|
Object Detection (HP)
|
97% |
2950
234.8 IPS |
|
|
Object Detection (Q)
|
94% |
2109
168.1 IPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6081
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3506
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5907
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11615
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8082
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18559
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29160
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24234
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3850
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5109
188.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3891
143.7 IPS |
|
|
Text Classification (SP)
|
100% |
2769
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4774
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4749
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3346
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6976
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7081
122.4 IPS |
