iPhone 13 Pro Max
Geekbench AI Score
1538
Single Precision Score
2219
Half Precision Score
1758
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 03 2024 09:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
787
146.3 IPS |
|
|
Image Classification (HP)
|
100% |
1084
201.6 IPS |
|
|
Image Classification (Q)
|
96% |
599
111.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
762
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
628
10.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
977
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2625
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
8395
9.80 IPS |
|
|
Pose Estimation (Q)
|
95% |
5691
6.67 IPS |
|
|
Object Detection (SP)
|
100% |
829
65.7 IPS |
|
|
Object Detection (HP)
|
97% |
908
72.3 IPS |
|
|
Object Detection (Q)
|
94% |
637
50.8 IPS |
|
|
Face Detection (SP)
|
100% |
929
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1448
17.2 IPS |
|
|
Face Detection (Q)
|
100% |
963
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1531
11.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3542
27.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
3676
28.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7668
9.86 IPS |
|
|
Style Transfer (HP)
|
100% |
8994
11.6 IPS |
|
|
Style Transfer (Q)
|
96% |
7658
9.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2490
92.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3109
114.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1137
42.0 IPS |
|
|
Text Classification (SP)
|
100% |
1066
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2102
2.81 KIPS |
|
|
Text Classification (Q)
|
93% |
2223
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1961
33.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1855
32.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1944
33.6 IPS |
