iPhone 13 Pro
Geekbench AI Score
3057
Single Precision Score
5697
Half Precision Score
4615
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 07 2025 10:57 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1261
234.4 IPS |
|
|
Image Classification (HP)
|
100% |
2404
447.0 IPS |
|
|
Image Classification (Q)
|
96% |
1663
310.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1946
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2426
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5713
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
13922
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11040
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1214
96.3 IPS |
|
|
Object Detection (HP)
|
97% |
2674
212.9 IPS |
|
|
Object Detection (Q)
|
94% |
1924
153.4 IPS |
|
|
Face Detection (SP)
|
100% |
2530
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
5530
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
3074
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5039
38.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10499
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7288
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16447
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26875
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22370
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3566
131.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4765
176.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3656
135.0 IPS |
|
|
Text Classification (SP)
|
100% |
2585
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4245
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4219
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6554
113.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6620
114.4 IPS |
