iPhone 13 Pro
Geekbench AI Score
3289
Single Precision Score
5765
Half Precision Score
4687
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 19 2026 08:14 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
2363
439.5 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2436
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6554
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
14359
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12131
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
97% |
2740
218.1 IPS |
|
|
Object Detection (Q)
|
94% |
1954
155.7 IPS |
|
|
Face Detection (SP)
|
100% |
2692
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5638
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
3200
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5319
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10574
81.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7362
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17596
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28024
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23162
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3851
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4770
176.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3652
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
2474
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4297
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4283
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3709
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6447
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6395
110.5 IPS |
