iPhone 13 Pro Max
Geekbench AI Score
3667
Single Precision Score
4051
Half Precision Score
3624
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MickaEricLBui |
| Upload Date | December 12 2024 11:18 PM |
| Views | 5 |
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% |
1577
293.2 IPS |
|
|
Image Classification (HP)
|
100% |
1427
265.4 IPS |
|
|
Image Classification (Q)
|
97% |
1453
271.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2481
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11250
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10978
12.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9771
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1695
134.5 IPS |
|
|
Object Detection (HP)
|
100% |
1933
153.4 IPS |
|
|
Object Detection (Q)
|
91% |
1654
132.2 IPS |
|
|
Face Detection (SP)
|
100% |
4724
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
6089
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
4007
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8471
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8893
68.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7503
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18794
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20544
26.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18948
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4320
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4718
174.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3912
144.5 IPS |
|
|
Text Classification (SP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4176
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4092
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
737
12.7 IPS |
