iPhone 13 Pro Max
Geekbench AI Score
3963
Single Precision Score
4543
Half Precision Score
4183
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 13 2025 11:50 AM |
| Views | 4 |
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% |
1556
289.3 IPS |
|
|
Image Classification (HP)
|
100% |
1638
304.7 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2822
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2969
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2830
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11186
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12769
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12326
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1948
154.5 IPS |
|
|
Object Detection (HP)
|
100% |
2076
164.7 IPS |
|
|
Object Detection (Q)
|
92% |
1822
145.4 IPS |
|
|
Face Detection (SP)
|
100% |
4866
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
6340
75.3 IPS |
|
|
Face Detection (Q)
|
100% |
4850
57.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8693
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9466
72.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8341
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18758
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23481
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22994
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4650
171.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4759
175.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4206
155.3 IPS |
|
|
Text Classification (SP)
|
100% |
2606
3.48 KIPS |
|
|
Text Classification (HP)
|
99% |
4106
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4095
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1026
17.7 IPS |
