iPhone 13 Pro Max
Geekbench AI Score
3279
Single Precision Score
5744
Half Precision Score
4679
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Zawacchi |
| Upload Date | February 23 2025 12:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1342
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
2350
437.1 IPS |
|
|
Image Classification (Q)
|
96% |
1622
302.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2425
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6511
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
14695
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12143
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
97% |
2721
216.6 IPS |
|
|
Object Detection (Q)
|
94% |
1948
155.3 IPS |
|
|
Face Detection (SP)
|
100% |
2689
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5501
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
3203
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5358
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10496
81.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7360
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17523
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27965
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23070
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3912
144.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4811
177.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3660
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4257
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4248
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3687
63.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6390
110.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6397
110.5 IPS |
