iPhone 14 Pro Max
Geekbench AI Score
3839
Single Precision Score
4282
Half Precision Score
3766
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 11:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1521
282.9 IPS |
|
|
Image Classification (HP)
|
100% |
1554
289.1 IPS |
|
|
Image Classification (Q)
|
97% |
1467
273.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2501
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11705
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12474
14.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11377
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1894
150.2 IPS |
|
|
Object Detection (HP)
|
100% |
1858
147.4 IPS |
|
|
Object Detection (Q)
|
91% |
1547
123.6 IPS |
|
|
Face Detection (SP)
|
100% |
5426
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
6309
75.0 IPS |
|
|
Face Detection (Q)
|
100% |
4146
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8575
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8880
68.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7045
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21005
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23358
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22057
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4492
165.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4728
174.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3757
138.7 IPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4598
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4588
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
802
13.9 IPS |
