iPhone 13
Geekbench AI Score
2816
Single Precision Score
3477
Half Precision Score
2970
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | April 07 2025 01:03 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
501
93.2 IPS |
|
|
Image Classification (HP)
|
100% |
926
172.3 IPS |
|
|
Image Classification (Q)
|
96% |
734
137.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2214
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9157
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9951
11.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
9522
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
959
76.1 IPS |
|
|
Object Detection (HP)
|
100% |
1630
129.3 IPS |
|
|
Object Detection (Q)
|
92% |
787
62.8 IPS |
|
|
Face Detection (SP)
|
100% |
4396
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
5065
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
4164
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7557
58.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8043
62.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7304
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16582
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19112
24.6 IPS |
|
|
Style Transfer (Q)
|
96% |
17948
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2785
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2885
106.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2574
95.1 IPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4226
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4230
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (Q)
|
98% |
740
12.8 IPS |
