iPhone 14 Pro Max
Geekbench AI Score
3536
Single Precision Score
6233
Half Precision Score
5075
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 27 2025 10:18 PM |
| Views | 3 |
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% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
2646
492.0 IPS |
|
|
Image Classification (Q)
|
96% |
1822
340.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2689
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6861
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
15444
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13161
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2917
232.2 IPS |
|
|
Object Detection (Q)
|
94% |
2101
167.4 IPS |
|
|
Face Detection (SP)
|
100% |
3008
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5989
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3480
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6021
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11657
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8122
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18615
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29716
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24573
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4059
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5093
188.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3897
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
2792
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4625
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4438
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3723
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6985
120.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6971
120.5 IPS |
