iPhone 13
Geekbench AI Score
3295
Single Precision Score
5787
Half Precision Score
4678
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 01 2025 03:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1293
240.4 IPS |
|
|
Image Classification (HP)
|
100% |
2343
435.7 IPS |
|
|
Image Classification (Q)
|
96% |
1624
303.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2446
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6647
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
14553
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12241
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1443
114.5 IPS |
|
|
Object Detection (HP)
|
97% |
2723
216.8 IPS |
|
|
Object Detection (Q)
|
94% |
1933
154.1 IPS |
|
|
Face Detection (SP)
|
100% |
2783
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
5669
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3222
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5337
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10622
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7394
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17842
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28224
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23086
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3827
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5018
185.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3629
134.0 IPS |
|
|
Text Classification (SP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4196
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4166
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3736
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6414
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6428
111.1 IPS |
