iPhone 14 Pro Max
Geekbench AI Score
3516
Single Precision Score
6194
Half Precision Score
5007
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Psycleracer |
| Upload Date | May 11 2025 10:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
263.0 IPS |
|
|
Image Classification (HP)
|
100% |
2552
474.6 IPS |
|
|
Image Classification (Q)
|
96% |
1737
324.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2630
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6917
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
15452
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13163
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2912
231.8 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5960
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3452
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6066
46.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11528
89.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7896
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18893
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29612
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24405
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4138
152.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5406
199.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3849
142.1 IPS |
|
|
Text Classification (SP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4771
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4762
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3523
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6558
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6593
113.9 IPS |
