iPhone 13 Pro Max
Geekbench AI Score
3903
Single Precision Score
4404
Half Precision Score
4183
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 05:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1631
303.3 IPS |
|
|
Image Classification (HP)
|
100% |
1376
255.8 IPS |
|
|
Image Classification (Q)
|
96% |
1557
290.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2769
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2787
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11219
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12581
14.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
12326
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1892
150.1 IPS |
|
|
Object Detection (HP)
|
100% |
2059
163.3 IPS |
|
|
Object Detection (Q)
|
92% |
1846
147.4 IPS |
|
|
Face Detection (SP)
|
100% |
4773
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
6118
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
4925
58.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8435
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9112
70.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8394
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18770
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23476
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22739
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4886
180.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5065
187.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4354
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4205
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4016
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
978
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1012
17.5 IPS |
