iPhone 13
Geekbench AI Score
2949
Single Precision Score
3259
Half Precision Score
2938
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Audiostetics |
| Upload Date | August 19 2025 12:16 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
987
183.6 IPS |
|
|
Image Classification (HP)
|
100% |
914
170.0 IPS |
|
|
Image Classification (Q)
|
96% |
543
101.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2189
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9237
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10327
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10170
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
968
76.8 IPS |
|
|
Object Detection (HP)
|
100% |
1074
85.2 IPS |
|
|
Object Detection (Q)
|
92% |
991
79.1 IPS |
|
|
Face Detection (SP)
|
100% |
4444
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
4929
58.6 IPS |
|
|
Face Detection (Q)
|
100% |
4021
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6616
51.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6517
50.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6368
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16752
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19334
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18806
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2900
107.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3039
112.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2693
99.4 IPS |
|
|
Text Classification (SP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4208
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4198
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
736
12.7 IPS |
