iPhone 14 Pro Max
Geekbench AI Score
3897
Single Precision Score
4199
Half Precision Score
3645
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:35 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% |
1702
316.5 IPS |
|
|
Image Classification (HP)
|
100% |
1559
289.9 IPS |
|
|
Image Classification (Q)
|
97% |
1322
246.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2270
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2482
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11637
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12372
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11273
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1950
154.6 IPS |
|
|
Object Detection (HP)
|
100% |
1887
149.7 IPS |
|
|
Object Detection (Q)
|
91% |
1474
117.8 IPS |
|
|
Face Detection (SP)
|
100% |
5184
61.6 IPS |
|
|
Face Detection (HP)
|
100% |
5881
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
4010
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8409
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8828
68.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6758
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21060
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22449
28.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21926
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4808
177.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4806
177.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3693
136.3 IPS |
|
|
Text Classification (SP)
|
100% |
2620
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4604
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4650
6.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
797
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
746
12.9 IPS |
