iPhone 13 Pro Max
Geekbench AI Score
3127
Single Precision Score
5722
Half Precision Score
4683
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 13 2025 11:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1259
234.2 IPS |
|
|
Image Classification (HP)
|
100% |
2431
452.1 IPS |
|
|
Image Classification (Q)
|
96% |
1682
314.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1254
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2444
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5835
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
14106
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11622
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.7 IPS |
|
|
Object Detection (HP)
|
97% |
2730
217.3 IPS |
|
|
Object Detection (Q)
|
94% |
1958
156.0 IPS |
|
|
Face Detection (SP)
|
100% |
2604
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
5590
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3203
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5101
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10540
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7411
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16948
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27023
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22560
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3585
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4727
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3658
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
2585
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4136
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4116
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3498
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6615
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6731
116.3 IPS |
