iPhone 13 Pro Max
Geekbench AI Score
3297
Single Precision Score
5783
Half Precision Score
4708
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | August 09 2025 02:30 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1308
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
2357
438.4 IPS |
|
|
Image Classification (Q)
|
96% |
1674
312.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2428
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6460
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
14782
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12173
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (HP)
|
97% |
2756
219.4 IPS |
|
|
Object Detection (Q)
|
94% |
1980
157.9 IPS |
|
|
Face Detection (SP)
|
100% |
2657
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5700
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3236
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5418
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10570
81.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7498
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17892
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28305
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23366
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3877
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4861
179.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3694
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
4008
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3971
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6582
113.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6574
113.6 IPS |
