iPhone 13 Pro Max
Geekbench AI Score
3710
Single Precision Score
4125
Half Precision Score
3595
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dudleynyc |
| Upload Date | October 09 2024 04:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1625
302.2 IPS |
|
|
Image Classification (HP)
|
100% |
1530
284.5 IPS |
|
|
Image Classification (Q)
|
97% |
1376
256.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2273
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2489
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2510
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11303
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12821
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11582
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
2003
158.9 IPS |
|
|
Object Detection (HP)
|
100% |
2081
165.1 IPS |
|
|
Object Detection (Q)
|
91% |
1629
130.2 IPS |
|
|
Face Detection (SP)
|
100% |
4658
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
5744
68.3 IPS |
|
|
Face Detection (Q)
|
100% |
4105
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8474
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9061
69.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6921
54.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18599
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19196
24.7 IPS |
|
|
Style Transfer (Q)
|
96% |
17898
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4171
154.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4811
177.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3868
142.8 IPS |
|
|
Text Classification (SP)
|
100% |
2388
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4112
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4101
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
711
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
687
11.9 IPS |
