iPhone 13 Pro Max
Geekbench AI Score
3958
Single Precision Score
4551
Half Precision Score
4304
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 20 2025 04:06 PM |
| 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% |
1481
275.4 IPS |
|
|
Image Classification (HP)
|
100% |
1679
312.3 IPS |
|
|
Image Classification (Q)
|
96% |
1714
320.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2797
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2973
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2838
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11445
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12763
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12349
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1952
154.8 IPS |
|
|
Object Detection (HP)
|
100% |
1956
155.2 IPS |
|
|
Object Detection (Q)
|
92% |
1887
150.6 IPS |
|
|
Face Detection (SP)
|
100% |
4870
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
6165
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
5034
59.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8672
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9359
72.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8839
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18723
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23816
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23124
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4878
180.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5124
189.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4481
165.5 IPS |
|
|
Text Classification (SP)
|
100% |
2523
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
4074
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4038
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1034
17.9 IPS |
