iPhone 13 Pro Max
Geekbench AI Score
3271
Single Precision Score
5719
Half Precision Score
4618
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 09:39 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
2352
437.4 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2477
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6574
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
14328
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12184
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (HP)
|
97% |
2754
219.3 IPS |
|
|
Object Detection (Q)
|
94% |
1946
155.1 IPS |
|
|
Face Detection (SP)
|
100% |
2605
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
5713
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
3236
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5442
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11189
86.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7644
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17851
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27227
35.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22605
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3996
147.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4782
176.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3497
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4177
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4162
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5772
99.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5684
98.2 IPS |
