iPhone 13 Pro Max
Geekbench AI Score
3285
Single Precision Score
19589
Half Precision Score
22656
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | December 08 2024 04:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1360
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
8258
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
9936
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12203
197.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14832
240.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6536
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
86798
101.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
94043
110.2 IPS |
|
|
Object Detection (SP)
|
100% |
1452
115.1 IPS |
|
|
Object Detection (HP)
|
99% |
10195
811.0 IPS |
|
|
Object Detection (Q)
|
91% |
11720
936.5 IPS |
|
|
Face Detection (SP)
|
100% |
2654
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
27990
332.6 IPS |
|
|
Face Detection (Q)
|
100% |
37596
446.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5442
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
53672
413.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
77313
604.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17982
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
159698
205.3 IPS |
|
|
Style Transfer (Q)
|
96% |
159056
205.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3962
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27398
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28115
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2424
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2453
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6061
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6880
118.9 IPS |
