iPhone 13
Geekbench AI Score
3091
Single Precision Score
5435
Half Precision Score
4349
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Audiostetics |
| Upload Date | August 19 2025 12:13 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
2356
438.2 IPS |
|
|
Image Classification (Q)
|
96% |
1604
299.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2302
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5529
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
12767
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10517
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.6 IPS |
|
|
Object Detection (HP)
|
97% |
2498
198.8 IPS |
|
|
Object Detection (Q)
|
94% |
1778
141.7 IPS |
|
|
Face Detection (SP)
|
100% |
2622
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5246
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
2894
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5045
38.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9993
77.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6825
53.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15565
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25900
33.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21094
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3601
133.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4627
170.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3429
126.6 IPS |
|
|
Text Classification (SP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4227
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4183
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3503
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5946
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5875
101.5 IPS |
