iPhone 13
Geekbench AI Score
2983
Single Precision Score
3231
Half Precision Score
3093
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 04:12 PM |
| Views | 2 |
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
182.7 IPS |
|
|
Image Classification (HP)
|
100% |
926
172.3 IPS |
|
|
Image Classification (Q)
|
96% |
841
157.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2284
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2304
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2203
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9270
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10325
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9957
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1222
96.9 IPS |
|
|
Object Detection (HP)
|
100% |
1037
82.2 IPS |
|
|
Object Detection (Q)
|
92% |
876
69.9 IPS |
|
|
Face Detection (SP)
|
100% |
4298
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
3637
43.2 IPS |
|
|
Face Detection (Q)
|
100% |
4020
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6442
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6999
53.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6662
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16724
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19731
25.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19142
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2863
105.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2969
109.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2672
98.7 IPS |
|
|
Text Classification (SP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4180
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4204
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
862
14.9 IPS |
