iPhone 13 Pro Max
Geekbench AI Score
3173
Single Precision Score
5792
Half Precision Score
4728
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 04:40 AM |
| Views | 1 |
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% |
1264
235.0 IPS |
|
|
Image Classification (HP)
|
100% |
2415
449.1 IPS |
|
|
Image Classification (Q)
|
96% |
1668
311.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2433
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6084
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
14721
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12488
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.1 IPS |
|
|
Object Detection (HP)
|
97% |
2708
215.6 IPS |
|
|
Object Detection (Q)
|
94% |
1974
157.4 IPS |
|
|
Face Detection (SP)
|
100% |
2618
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5686
67.6 IPS |
|
|
Face Detection (Q)
|
100% |
3222
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5249
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10539
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7495
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17433
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27672
35.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22967
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3732
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4940
182.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3684
136.0 IPS |
|
|
Text Classification (SP)
|
100% |
2578
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4097
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4114
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6693
115.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6643
114.8 IPS |
