iPhone 14 Pro Max
Geekbench AI Score
3895
Single Precision Score
4228
Half Precision Score
3758
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Rohan_C |
| Upload Date | November 03 2024 08:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1690
314.3 IPS |
|
|
Image Classification (HP)
|
100% |
1375
255.7 IPS |
|
|
Image Classification (Q)
|
97% |
1497
279.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2250
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2505
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11697
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12319
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11587
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1970
156.3 IPS |
|
|
Object Detection (HP)
|
100% |
1916
152.0 IPS |
|
|
Object Detection (Q)
|
91% |
1593
127.3 IPS |
|
|
Face Detection (SP)
|
100% |
5165
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
6020
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3993
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8434
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8724
67.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7242
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21239
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23694
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21948
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4764
175.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4844
178.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3745
138.3 IPS |
|
|
Text Classification (SP)
|
100% |
2632
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4641
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4611
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
742
12.8 IPS |
