iPhone 13 Pro Max
Geekbench AI Score
4030
Single Precision Score
4514
Half Precision Score
4281
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ShortKick |
| Upload Date | September 25 2025 09:57 AM |
| Views | 3 |
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% |
1747
324.9 IPS |
|
|
Image Classification (HP)
|
100% |
1590
295.7 IPS |
|
|
Image Classification (Q)
|
96% |
1655
309.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2832
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2878
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2764
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11372
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12795
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12345
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1926
152.8 IPS |
|
|
Object Detection (HP)
|
100% |
1999
158.6 IPS |
|
|
Object Detection (Q)
|
92% |
1847
147.4 IPS |
|
|
Face Detection (SP)
|
100% |
4814
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
6131
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
5080
60.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8506
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9264
71.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8695
67.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18793
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23739
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22960
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5006
184.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5137
189.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4531
167.3 IPS |
|
|
Text Classification (SP)
|
100% |
2559
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4135
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4108
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1059
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1048
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1052
18.2 IPS |
