iPhone 13 Pro Max
Geekbench AI Score
3953
Single Precision Score
4422
Half Precision Score
4154
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | August 09 2025 02:32 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1497
278.4 IPS |
|
|
Image Classification (HP)
|
100% |
1473
273.8 IPS |
|
|
Image Classification (Q)
|
96% |
1520
283.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2809
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2900
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2800
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11295
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12706
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12371
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1925
152.7 IPS |
|
|
Object Detection (HP)
|
100% |
1946
154.3 IPS |
|
|
Object Detection (Q)
|
92% |
1824
145.6 IPS |
|
|
Face Detection (SP)
|
100% |
4985
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
6118
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
4995
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8522
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9196
70.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8391
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18769
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23346
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22977
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4882
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4977
183.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4419
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
2562
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4000
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3953
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
948
16.4 IPS |
