iPhone 13 Pro Max
Geekbench AI Score
3995
Single Precision Score
4454
Half Precision Score
4256
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 04:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1727
321.1 IPS |
|
|
Image Classification (HP)
|
100% |
1514
281.5 IPS |
|
|
Image Classification (Q)
|
96% |
1698
317.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2807
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3009
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2855
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11318
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12697
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12447
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1879
149.0 IPS |
|
|
Object Detection (HP)
|
100% |
1970
156.2 IPS |
|
|
Object Detection (Q)
|
92% |
1806
144.2 IPS |
|
|
Face Detection (SP)
|
100% |
4910
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
6403
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
5086
60.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8682
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9408
72.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8476
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18491
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23230
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22461
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4810
177.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4804
177.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4390
162.1 IPS |
|
|
Text Classification (SP)
|
100% |
2585
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4062
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4051
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1041
18.0 IPS |
