iPhone 13 Pro Max
Geekbench AI Score
3232
Single Precision Score
3821
Half Precision Score
3656
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 26 2025 09:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
793
147.4 IPS |
|
|
Image Classification (HP)
|
100% |
1212
225.3 IPS |
|
|
Image Classification (Q)
|
96% |
1146
214.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2675
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2941
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2588
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11151
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12470
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12249
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (Q)
|
92% |
1300
103.8 IPS |
|
|
Face Detection (SP)
|
100% |
4264
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
4615
54.8 IPS |
|
|
Face Detection (Q)
|
100% |
4153
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8125
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8841
68.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8116
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18534
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22571
29.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21999
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2725
100.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3513
129.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3441
127.1 IPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4243
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4231
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
838
14.5 IPS |
