iPhone 14 Pro Max
Geekbench AI Score
3855
Single Precision Score
4315
Half Precision Score
3783
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 07:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1527
284.0 IPS |
|
|
Image Classification (HP)
|
100% |
1614
300.1 IPS |
|
|
Image Classification (Q)
|
97% |
1456
271.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2246
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2507
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11710
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12324
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11417
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1991
157.9 IPS |
|
|
Object Detection (HP)
|
100% |
1923
152.5 IPS |
|
|
Object Detection (Q)
|
91% |
1591
127.1 IPS |
|
|
Face Detection (SP)
|
100% |
5327
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
6010
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
4058
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8317
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8930
68.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7295
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21199
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23766
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22147
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4731
174.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4878
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3849
142.1 IPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4613
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4531
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
792
13.7 IPS |
