iPhone 13 Pro Max
Geekbench AI Score
3055
Single Precision Score
5634
Half Precision Score
4586
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 01:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
2404
447.1 IPS |
|
|
Image Classification (Q)
|
96% |
1666
311.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1241
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2413
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5563
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
13608
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11324
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (HP)
|
97% |
2724
216.9 IPS |
|
|
Object Detection (Q)
|
94% |
1930
153.9 IPS |
|
|
Face Detection (SP)
|
100% |
2571
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
5391
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3076
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5017
38.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10395
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7256
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16023
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26370
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21852
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3561
131.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4723
174.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3614
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
2564
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4203
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4157
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6333
109.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6398
110.6 IPS |
