iPhone 13 Pro Max
Geekbench AI Score
3296
Single Precision Score
18556
Half Precision Score
21411
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | November 05 2024 04:43 AM |
| Views | 4 |
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% |
1366
254.0 IPS |
|
|
Image Classification (HP)
|
100% |
7953
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
9968
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1334
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12325
199.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14413
233.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6549
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
71421
83.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
93827
110.0 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.3 IPS |
|
|
Object Detection (HP)
|
99% |
10662
848.1 IPS |
|
|
Object Detection (Q)
|
91% |
11932
953.4 IPS |
|
|
Face Detection (SP)
|
100% |
2702
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
27039
321.3 IPS |
|
|
Face Detection (Q)
|
100% |
33785
401.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5558
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55027
423.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
72840
569.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17825
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
156888
201.7 IPS |
|
|
Style Transfer (Q)
|
96% |
153046
197.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3972
146.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26071
962.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28546
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2311
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3353
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4655
80.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5067
87.6 IPS |
