iPhone 14 Pro Max
Geekbench AI Score
3870
Single Precision Score
4235
Half Precision Score
3674
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 12:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1649
306.7 IPS |
|
|
Image Classification (HP)
|
100% |
1476
274.4 IPS |
|
|
Image Classification (Q)
|
97% |
1352
252.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2226
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2497
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2508
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11698
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12385
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11237
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1932
153.3 IPS |
|
|
Object Detection (HP)
|
100% |
1888
149.8 IPS |
|
|
Object Detection (Q)
|
91% |
1488
118.9 IPS |
|
|
Face Detection (SP)
|
100% |
5158
61.3 IPS |
|
|
Face Detection (HP)
|
100% |
5829
69.3 IPS |
|
|
Face Detection (Q)
|
100% |
4094
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8502
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8809
67.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6791
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21075
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23685
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21815
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4778
176.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4825
178.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3745
138.3 IPS |
|
|
Text Classification (SP)
|
100% |
2610
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4658
6.22 KIPS |
|
|
Text Classification (Q)
|
93% |
4526
6.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
769
13.3 IPS |
