iPhone 13
Geekbench AI Score
2452
Single Precision Score
2854
Half Precision Score
2557
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Hulkstern |
| Upload Date | March 11 2025 10:25 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
524
97.5 IPS |
|
|
Image Classification (HP)
|
100% |
736
136.8 IPS |
|
|
Image Classification (Q)
|
97% |
709
132.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2054
33.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2020
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9271
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10024
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9279
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
976
77.4 IPS |
|
|
Object Detection (HP)
|
100% |
1047
83.0 IPS |
|
|
Object Detection (Q)
|
91% |
815
65.2 IPS |
|
|
Face Detection (SP)
|
100% |
3696
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
5089
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
3364
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6442
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6036
46.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6146
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16668
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19309
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
17879
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2917
107.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2892
106.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2331
86.1 IPS |
|
|
Text Classification (SP)
|
100% |
2390
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4173
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4139
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
312
5.38 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.44 IPS |
|
|
Machine Translation (Q)
|
98% |
310
5.36 IPS |
