iPhone 13 Pro Max
Geekbench AI Score
3798
Single Precision Score
4205
Half Precision Score
3785
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Gothic_Day |
| Upload Date | December 09 2024 07:26 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1671
310.7 IPS |
|
|
Image Classification (HP)
|
100% |
1461
271.8 IPS |
|
|
Image Classification (Q)
|
97% |
1490
278.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2279
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2510
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11305
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12335
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11624
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
2012
159.6 IPS |
|
|
Object Detection (HP)
|
100% |
2031
161.1 IPS |
|
|
Object Detection (Q)
|
91% |
1691
135.2 IPS |
|
|
Face Detection (SP)
|
100% |
4606
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
6033
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
4174
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8565
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9116
70.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7633
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18818
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23468
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21718
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4991
184.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4981
183.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4023
148.5 IPS |
|
|
Text Classification (SP)
|
100% |
2377
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4103
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4076
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
725
12.5 IPS |
