iPhone 13
Geekbench AI Score
3082
Single Precision Score
3270
Half Precision Score
3159
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:26 PM |
| Views | 1 |
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% |
1136
211.2 IPS |
|
|
Image Classification (HP)
|
100% |
914
169.9 IPS |
|
|
Image Classification (Q)
|
96% |
851
159.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2178
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9238
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10238
11.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
9990
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1178
93.4 IPS |
|
|
Object Detection (HP)
|
100% |
1051
83.4 IPS |
|
|
Object Detection (Q)
|
92% |
837
66.8 IPS |
|
|
Face Detection (SP)
|
100% |
4289
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
3372
40.1 IPS |
|
|
Face Detection (Q)
|
100% |
4107
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6608
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7762
59.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
7796
60.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17021
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19936
25.6 IPS |
|
|
Style Transfer (Q)
|
96% |
19472
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2995
110.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3095
114.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2713
100.2 IPS |
|
|
Text Classification (SP)
|
100% |
2484
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4354
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4356
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
760
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
868
15.0 IPS |
