iPhone 13 Pro
Geekbench AI Score
3161
Single Precision Score
5773
Half Precision Score
4723
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ksnishat |
| Upload Date | December 11 2025 08:48 AM |
| Views | 9 |
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% |
1266
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
2414
449.0 IPS |
|
|
Image Classification (Q)
|
96% |
1663
310.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2442
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6102
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
14579
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12359
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
97% |
2763
220.0 IPS |
|
|
Object Detection (Q)
|
94% |
1988
158.5 IPS |
|
|
Face Detection (SP)
|
100% |
2640
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5696
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3243
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5167
39.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10518
81.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7441
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17352
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27479
35.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22793
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3615
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4767
176.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3680
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
2579
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4131
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4117
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3490
60.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6642
114.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6643
114.8 IPS |
