iPhone 13 Pro Max
Geekbench AI Score
2986
Single Precision Score
5524
Half Precision Score
4474
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | absolutzombie |
| Upload Date | November 22 2025 03:48 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1023
190.2 IPS |
|
|
Image Classification (HP)
|
100% |
2095
389.6 IPS |
|
|
Image Classification (Q)
|
96% |
1421
265.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2280
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5317
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
12678
14.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11307
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1246
98.8 IPS |
|
|
Object Detection (HP)
|
97% |
2653
211.2 IPS |
|
|
Object Detection (Q)
|
94% |
1875
149.5 IPS |
|
|
Face Detection (SP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
5294
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
2895
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5103
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10483
81.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7344
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16830
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27316
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22265
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3595
132.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4886
180.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3683
136.0 IPS |
|
|
Text Classification (SP)
|
100% |
2596
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4219
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4151
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6655
115.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6466
111.7 IPS |
