iPhone 14 Pro Max
Geekbench AI Score
1450
Single Precision Score
2134
Half Precision Score
1826
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 01:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
625
116.1 IPS |
|
|
Image Classification (HP)
|
100% |
798
148.4 IPS |
|
|
Image Classification (Q)
|
96% |
602
112.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
532
8.62 IPS |
|
|
Image Segmentation (Q)
|
99% |
772
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2722
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
5989
6.99 IPS |
|
|
Pose Estimation (Q)
|
95% |
5318
6.23 IPS |
|
|
Object Detection (SP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (HP)
|
97% |
1013
80.7 IPS |
|
|
Object Detection (Q)
|
94% |
739
58.9 IPS |
|
|
Face Detection (SP)
|
100% |
1330
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
1933
23.0 IPS |
|
|
Face Detection (Q)
|
100% |
1222
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2426
18.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
3824
29.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
2871
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7566
9.73 IPS |
|
|
Style Transfer (HP)
|
100% |
11821
15.2 IPS |
|
|
Style Transfer (Q)
|
96% |
9722
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1770
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2177
80.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1660
61.3 IPS |
|
|
Text Classification (SP)
|
100% |
1195
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1939
2.59 KIPS |
|
|
Text Classification (Q)
|
93% |
1928
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2067
35.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2077
35.9 IPS |
