iPhone 13 Pro Max
Geekbench AI Score
3074
Single Precision Score
5634
Half Precision Score
4608
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 27 2025 10:06 PM |
| 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% |
1246
231.7 IPS |
|
|
Image Classification (HP)
|
100% |
2328
433.0 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1208
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1849
30.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2442
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5758
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
14090
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11700
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1307
103.6 IPS |
|
|
Object Detection (HP)
|
97% |
2619
208.5 IPS |
|
|
Object Detection (Q)
|
94% |
1889
150.6 IPS |
|
|
Face Detection (SP)
|
100% |
2570
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
5479
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3064
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5070
39.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10361
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7243
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16316
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26731
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21847
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3593
132.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4796
177.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3641
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
2559
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4278
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4263
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3406
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6524
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6528
112.8 IPS |
