iPhone 13 Pro Max
Geekbench AI Score
3287
Single Precision Score
19611
Half Precision Score
22802
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MiataRacer28 |
| Upload Date | November 02 2024 10:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1356
252.2 IPS |
|
|
Image Classification (HP)
|
100% |
8182
1.52 KIPS |
|
|
Image Classification (Q)
|
96% |
10840
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1336
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12775
207.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14830
240.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6461
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
89096
104.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
93550
109.6 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.5 IPS |
|
|
Object Detection (HP)
|
99% |
10732
853.7 IPS |
|
|
Object Detection (Q)
|
91% |
11936
953.7 IPS |
|
|
Face Detection (SP)
|
100% |
2706
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
28463
338.2 IPS |
|
|
Face Detection (Q)
|
100% |
36048
428.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5239
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
52814
406.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
75986
593.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17436
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
162321
208.7 IPS |
|
|
Style Transfer (Q)
|
96% |
160451
207.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4019
148.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30072
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35449
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2454
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3503
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5021
86.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5538
95.7 IPS |
