iPhone 13
Geekbench AI Score
2998
Single Precision Score
5500
Half Precision Score
4429
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | eithel |
| Upload Date | January 31 2026 05:25 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1263
234.8 IPS |
|
|
Image Classification (HP)
|
100% |
2366
440.0 IPS |
|
|
Image Classification (Q)
|
96% |
1650
308.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2319
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5428
6.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
13126
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10831
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1235
98.0 IPS |
|
|
Object Detection (HP)
|
97% |
2561
203.9 IPS |
|
|
Object Detection (Q)
|
94% |
1800
143.5 IPS |
|
|
Face Detection (SP)
|
100% |
2541
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
5222
62.1 IPS |
|
|
Face Detection (Q)
|
100% |
2929
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4872
37.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10179
78.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6944
54.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15626
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25571
32.9 IPS |
|
|
Style Transfer (Q)
|
96% |
20617
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3432
126.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4668
172.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3463
127.9 IPS |
|
|
Text Classification (SP)
|
100% |
2517
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4238
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4213
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3288
56.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6249
108.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6371
110.1 IPS |
