iPhone 13
Geekbench AI Score
2506
Single Precision Score
2795
Half Precision Score
2427
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | April 01 2025 12:17 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
615
114.3 IPS |
|
|
Image Classification (HP)
|
100% |
721
134.1 IPS |
|
|
Image Classification (Q)
|
97% |
690
128.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1979
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1990
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9205
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9816
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9272
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
892
70.8 IPS |
|
|
Object Detection (HP)
|
100% |
893
70.8 IPS |
|
|
Object Detection (Q)
|
91% |
599
47.8 IPS |
|
|
Face Detection (SP)
|
100% |
4331
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
5082
60.4 IPS |
|
|
Face Detection (Q)
|
100% |
2971
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6652
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6755
52.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
5891
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16326
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18657
24.0 IPS |
|
|
Style Transfer (Q)
|
96% |
17553
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2736
101.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2720
100.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2069
76.4 IPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4171
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4121
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (HP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (Q)
|
98% |
356
6.15 IPS |
