iPhone 13 Pro Max
Geekbench AI Score
3037
Single Precision Score
4576
Half Precision Score
3924
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | September 17 2024 07:50 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1415
263.2 IPS |
|
|
Image Classification (HP)
|
100% |
1767
328.5 IPS |
|
|
Image Classification (Q)
|
96% |
1370
255.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1132
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1677
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5904
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
13739
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11776
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
97% |
2119
168.7 IPS |
|
|
Object Detection (Q)
|
94% |
1628
129.7 IPS |
|
|
Face Detection (SP)
|
100% |
2361
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
4030
47.9 IPS |
|
|
Face Detection (Q)
|
100% |
2604
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4955
38.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8033
62.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6068
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16491
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25502
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21097
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3530
130.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4915
181.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3538
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3815
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2909
50.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4387
75.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4377
75.6 IPS |
