iPhone 14 Pro Max
Geekbench AI Score
3522
Single Precision Score
6059
Half Precision Score
4919
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 23 2024 01:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1420
264.0 IPS |
|
|
Image Classification (HP)
|
100% |
2512
467.1 IPS |
|
|
Image Classification (Q)
|
96% |
1742
325.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2688
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6822
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
14950
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12814
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2912
231.9 IPS |
|
|
Object Detection (Q)
|
94% |
2047
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
3084
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6042
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3486
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6124
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12101
93.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8188
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18785
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28379
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23724
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4205
155.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4899
180.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3646
134.6 IPS |
|
|
Text Classification (SP)
|
100% |
2619
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4732
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4651
6.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3465
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5863
101.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5886
101.7 IPS |
