iPhone 13 Pro Max
Geekbench AI Score
3150
Single Precision Score
19455
Half Precision Score
22393
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RAMFlux |
| Upload Date | March 18 2025 01:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
7982
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
8487
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
934
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12058
195.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13839
224.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6425
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
86672
101.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
93343
109.4 IPS |
|
|
Object Detection (SP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (HP)
|
99% |
10684
849.9 IPS |
|
|
Object Detection (Q)
|
91% |
11825
944.9 IPS |
|
|
Face Detection (SP)
|
100% |
2656
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
26328
312.8 IPS |
|
|
Face Detection (Q)
|
100% |
37120
441.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5390
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
54159
417.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
73840
577.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17466
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
157690
202.7 IPS |
|
|
Style Transfer (Q)
|
96% |
161588
208.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3992
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27022
997.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32543
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2381
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3365
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6232
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7129
123.2 IPS |
