iPhone 13
Geekbench AI Score
3196
Single Precision Score
5598
Half Precision Score
4555
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 08 2025 04:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1310
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
2391
444.7 IPS |
|
|
Image Classification (Q)
|
96% |
1671
312.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2339
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5827
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
13492
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11143
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
97% |
2581
205.5 IPS |
|
|
Object Detection (Q)
|
94% |
1838
146.5 IPS |
|
|
Face Detection (SP)
|
100% |
2722
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5409
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3034
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5266
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10487
81.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7255
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16752
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26788
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21772
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4831
178.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3593
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
2522
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
4092
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4226
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3679
63.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6221
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6609
114.2 IPS |
