iPhone 13
Geekbench AI Score
3126
Single Precision Score
5497
Half Precision Score
4440
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 04:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
2301
427.9 IPS |
|
|
Image Classification (Q)
|
96% |
1590
296.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2347
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5632
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
13028
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10767
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.8 IPS |
|
|
Object Detection (HP)
|
97% |
2575
205.0 IPS |
|
|
Object Detection (Q)
|
94% |
1818
144.9 IPS |
|
|
Face Detection (SP)
|
100% |
2649
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5311
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
2949
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5041
38.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10214
79.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7069
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16112
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26268
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21407
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3630
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4612
170.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3511
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4357
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4340
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3521
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5956
102.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6005
103.8 IPS |
