iPhone 13 Pro
Geekbench AI Score
3177
Single Precision Score
5679
Half Precision Score
4595
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 31 2026 02:57 AM |
| Views | 7 |
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% |
1270
236.3 IPS |
|
|
Image Classification (HP)
|
100% |
2360
438.9 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2415
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6201
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
13973
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11628
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
97% |
2687
213.9 IPS |
|
|
Object Detection (Q)
|
94% |
1909
152.2 IPS |
|
|
Face Detection (SP)
|
100% |
2661
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5504
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
3117
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5294
40.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10434
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7070
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16561
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27415
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22529
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3637
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4818
177.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3627
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
2464
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4325
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4304
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6099
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6224
107.6 IPS |
