iPhone 13
Geekbench AI Score
3078
Single Precision Score
5630
Half Precision Score
4580
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 05:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1272
236.5 IPS |
|
|
Image Classification (HP)
|
100% |
2407
447.6 IPS |
|
|
Image Classification (Q)
|
96% |
1674
312.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2443
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5834
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
13797
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11643
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (HP)
|
97% |
2665
212.2 IPS |
|
|
Object Detection (Q)
|
94% |
1872
149.2 IPS |
|
|
Face Detection (SP)
|
100% |
2501
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
5345
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
3023
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5113
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10451
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7246
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16262
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26121
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21551
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3514
129.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4752
175.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3606
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
2572
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4126
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4116
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6450
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6508
112.5 IPS |
