iPhone 13
Geekbench AI Score
3130
Single Precision Score
20135
Half Precision Score
22395
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 17 2025 01:00 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
8655
1.61 KIPS |
|
|
Image Classification (Q)
|
96% |
10107
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13493
218.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
15840
256.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5826
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
83028
96.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
89741
105.2 IPS |
|
|
Object Detection (SP)
|
100% |
1349
107.0 IPS |
|
|
Object Detection (HP)
|
99% |
11016
876.3 IPS |
|
|
Object Detection (Q)
|
91% |
11840
946.1 IPS |
|
|
Face Detection (SP)
|
100% |
2677
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
28327
336.6 IPS |
|
|
Face Detection (Q)
|
100% |
35989
427.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5061
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
54919
423.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
76129
594.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16631
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
151469
194.7 IPS |
|
|
Style Transfer (Q)
|
96% |
143583
185.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3550
131.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29372
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28506
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2552
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2393
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3435
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6166
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6954
120.2 IPS |
