iPhone 14 Pro Max
Geekbench AI Score
3029
Single Precision Score
5590
Half Precision Score
4796
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | taebudeeman |
| Upload Date | July 01 2025 07:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
726
135.0 IPS |
|
|
Image Classification (HP)
|
100% |
1634
303.8 IPS |
|
|
Image Classification (Q)
|
96% |
1777
331.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2022
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2297
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3631
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
13963
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12322
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1540
122.1 IPS |
|
|
Object Detection (HP)
|
97% |
2867
228.3 IPS |
|
|
Object Detection (Q)
|
94% |
1981
157.9 IPS |
|
|
Face Detection (SP)
|
100% |
2775
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
4605
54.7 IPS |
|
|
Face Detection (Q)
|
100% |
3380
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5888
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11385
88.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7103
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16746
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28199
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23440
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4073
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5113
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3419
126.2 IPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
4948
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4965
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3619
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6027
104.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6766
116.9 IPS |
