iPhone 13 Pro
Geekbench AI Score
3144
Single Precision Score
5810
Half Precision Score
4714
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 09:21 AM |
| Views | 5 |
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% |
1250
232.4 IPS |
|
|
Image Classification (HP)
|
100% |
2422
450.4 IPS |
|
|
Image Classification (Q)
|
96% |
1671
312.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2437
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6046
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14594
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12354
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.7 IPS |
|
|
Object Detection (HP)
|
97% |
2735
217.7 IPS |
|
|
Object Detection (Q)
|
94% |
1966
156.7 IPS |
|
|
Face Detection (SP)
|
100% |
2588
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
5663
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3207
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5163
39.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10567
81.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7413
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16813
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27456
35.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22611
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3701
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5051
186.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3693
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2579
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4190
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4138
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3468
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6660
115.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6682
115.5 IPS |
