iPhone 13
Geekbench AI Score
2814
Single Precision Score
3150
Half Precision Score
3023
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | April 07 2025 12:59 PM |
| Views | 3 |
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% |
965
179.4 IPS |
|
|
Image Classification (HP)
|
100% |
765
142.2 IPS |
|
|
Image Classification (Q)
|
96% |
557
104.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2274
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2304
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2199
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9249
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10016
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
9637
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
812
64.4 IPS |
|
|
Object Detection (HP)
|
100% |
813
64.5 IPS |
|
|
Object Detection (Q)
|
92% |
922
73.6 IPS |
|
|
Face Detection (SP)
|
100% |
3479
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
4966
59.0 IPS |
|
|
Face Detection (Q)
|
100% |
4046
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6568
50.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6499
50.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6496
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16678
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19306
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
18850
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2875
106.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2889
106.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3775
139.4 IPS |
|
|
Text Classification (SP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4281
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4238
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
741
12.8 IPS |
