iPhone 13 Pro Max
Geekbench AI Score
3279
Single Precision Score
5687
Half Precision Score
4617
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 06:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
2338
434.8 IPS |
|
|
Image Classification (Q)
|
96% |
1630
304.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2479
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6331
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
13982
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11965
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
97% |
2747
218.7 IPS |
|
|
Object Detection (Q)
|
94% |
1941
154.7 IPS |
|
|
Face Detection (SP)
|
100% |
2709
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
5747
68.3 IPS |
|
|
Face Detection (Q)
|
100% |
3253
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5520
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11139
86.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7630
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17711
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26983
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22547
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3990
147.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4740
175.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3536
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4169
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4143
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5760
99.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5721
98.9 IPS |
