iPhone 13
Geekbench AI Score
3184
Single Precision Score
5600
Half Precision Score
4507
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 29 2025 07:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1359
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
2371
441.0 IPS |
|
|
Image Classification (Q)
|
96% |
1628
304.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2404
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6061
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
13758
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11392
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1352
107.2 IPS |
|
|
Object Detection (HP)
|
97% |
2604
207.3 IPS |
|
|
Object Detection (Q)
|
94% |
1845
147.0 IPS |
|
|
Face Detection (SP)
|
100% |
2714
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5441
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3014
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5121
39.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10378
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7131
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16591
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26801
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21659
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3710
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4732
174.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3564
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4219
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4153
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3512
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6046
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6106
105.5 IPS |
