iPhone 13
Geekbench AI Score
2909
Single Precision Score
3276
Half Precision Score
2899
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | edesattila |
| Upload Date | May 26 2025 06:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
982
182.6 IPS |
|
|
Image Classification (HP)
|
100% |
969
180.2 IPS |
|
|
Image Classification (Q)
|
96% |
533
99.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2186
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9329
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10310
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9982
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
838
66.5 IPS |
|
|
Object Detection (HP)
|
100% |
1057
83.9 IPS |
|
|
Object Detection (Q)
|
92% |
907
72.4 IPS |
|
|
Face Detection (SP)
|
100% |
4340
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
4968
59.0 IPS |
|
|
Face Detection (Q)
|
100% |
3853
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6821
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6637
51.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6496
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16675
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19329
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19152
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2881
106.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2944
108.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2688
99.3 IPS |
|
|
Text Classification (SP)
|
100% |
2452
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4195
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4170
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
694
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
740
12.8 IPS |
