iPhone 13
Geekbench AI Score
3116
Single Precision Score
5519
Half Precision Score
4458
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 11 2025 02:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
2357
438.3 IPS |
|
|
Image Classification (Q)
|
96% |
1621
302.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2340
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5742
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
13080
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10943
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (HP)
|
97% |
2580
205.4 IPS |
|
|
Object Detection (Q)
|
94% |
1841
146.8 IPS |
|
|
Face Detection (SP)
|
100% |
2605
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
5266
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
2937
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5193
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10196
78.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7207
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15791
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26408
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21507
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3645
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4716
174.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3530
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4169
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4248
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3508
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6194
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5955
102.9 IPS |
