iPhone 13
Geekbench AI Score
2614
Single Precision Score
2883
Half Precision Score
2589
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | YOUNGMONEY |
| Upload Date | November 16 2025 05:11 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
980
182.2 IPS |
|
|
Image Classification (HP)
|
100% |
751
139.6 IPS |
|
|
Image Classification (Q)
|
96% |
820
153.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1876
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9286
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10341
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
7332
8.59 IPS |
|
|
Object Detection (SP)
|
100% |
855
67.8 IPS |
|
|
Object Detection (HP)
|
100% |
930
73.8 IPS |
|
|
Object Detection (Q)
|
92% |
886
70.7 IPS |
|
|
Face Detection (SP)
|
100% |
3541
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
4954
58.9 IPS |
|
|
Face Detection (Q)
|
100% |
3259
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5861
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6376
49.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
5360
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15721
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18570
23.9 IPS |
|
|
Style Transfer (Q)
|
96% |
16611
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2818
104.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2912
107.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2583
95.4 IPS |
|
|
Text Classification (SP)
|
100% |
1364
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2344
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2363
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
767
13.3 IPS |
