iPhone 13 Pro Max
Geekbench AI Score
3889
Single Precision Score
4254
Half Precision Score
4127
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Miroslav_Buryak |
| Upload Date | August 11 2025 02:23 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1698
315.8 IPS |
|
|
Image Classification (HP)
|
100% |
1414
263.0 IPS |
|
|
Image Classification (Q)
|
96% |
1653
308.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2756
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2844
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2758
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11242
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9537
11.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10854
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1661
131.8 IPS |
|
|
Object Detection (HP)
|
100% |
1905
151.1 IPS |
|
|
Object Detection (Q)
|
92% |
1807
144.3 IPS |
|
|
Face Detection (SP)
|
100% |
4854
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
6186
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
4840
57.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8441
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9147
70.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8412
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18781
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21900
28.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21382
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4575
168.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5078
187.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4495
166.0 IPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4287
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4229
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
969
16.8 IPS |
