iPhone 13 Pro Max
Geekbench AI Score
3110
Single Precision Score
5625
Half Precision Score
4510
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 11 2025 04:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1323
246.0 IPS |
|
|
Image Classification (HP)
|
100% |
2409
448.0 IPS |
|
|
Image Classification (Q)
|
96% |
1657
309.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1232
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2328
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5711
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
13494
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11311
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1362
108.1 IPS |
|
|
Object Detection (HP)
|
97% |
2655
211.4 IPS |
|
|
Object Detection (Q)
|
94% |
1874
149.4 IPS |
|
|
Face Detection (SP)
|
100% |
2555
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
5298
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
2980
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4983
38.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10252
79.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7067
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16057
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27026
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21632
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3692
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4860
179.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3544
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
2482
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4126
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4076
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3568
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6495
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6479
112.0 IPS |
