iPhone 13 Pro Max
Geekbench AI Score
3864
Single Precision Score
4409
Half Precision Score
1586
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Zawacchi |
| Upload Date | February 23 2025 12:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1494
277.8 IPS |
|
|
Image Classification (HP)
|
100% |
1492
277.4 IPS |
|
|
Image Classification (Q)
|
97% |
1464
273.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2778
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2910
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2503
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11268
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12249
14.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
11439
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1891
150.0 IPS |
|
|
Object Detection (HP)
|
100% |
1972
156.4 IPS |
|
|
Object Detection (Q)
|
92% |
1630
130.1 IPS |
|
|
Face Detection (SP)
|
100% |
4706
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
6031
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
4002
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8470
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9051
69.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18822
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23391
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21760
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4917
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4941
182.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4015
148.2 IPS |
|
|
Text Classification (SP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4345
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4211
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1002
17.3 IPS |
