iPhone 13 Pro
Geekbench AI Score
3020
Single Precision Score
5579
Half Precision Score
4499
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jcpenni |
| Upload Date | September 17 2025 07:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1252
232.9 IPS |
|
|
Image Classification (HP)
|
100% |
2378
442.3 IPS |
|
|
Image Classification (Q)
|
96% |
1671
312.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1903
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2349
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5413
6.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
13270
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11171
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1266
100.4 IPS |
|
|
Object Detection (HP)
|
97% |
2644
210.5 IPS |
|
|
Object Detection (Q)
|
94% |
1829
145.7 IPS |
|
|
Face Detection (SP)
|
100% |
2553
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
5389
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
2966
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4945
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10295
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7071
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15963
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25796
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20969
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3460
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4663
172.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3542
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
2554
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4235
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4220
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6519
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6453
111.5 IPS |
