iPhone 13 Pro Max
Geekbench AI Score
3787
Single Precision Score
4223
Half Precision Score
3767
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | December 08 2024 04:15 PM |
| Views | 4 |
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% |
1648
306.5 IPS |
|
|
Image Classification (HP)
|
100% |
1440
267.8 IPS |
|
|
Image Classification (Q)
|
97% |
1466
273.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2244
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2489
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11278
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12256
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11375
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1980
157.0 IPS |
|
|
Object Detection (HP)
|
100% |
2012
159.6 IPS |
|
|
Object Detection (Q)
|
91% |
1637
130.8 IPS |
|
|
Face Detection (SP)
|
100% |
4843
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
5975
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
4005
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8671
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9004
69.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7434
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18737
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23284
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21607
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4894
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4873
179.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3878
143.2 IPS |
|
|
Text Classification (SP)
|
100% |
2388
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4251
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4216
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
806
13.9 IPS |
