iPhone 13
Geekbench AI Score
2850
Single Precision Score
5263
Half Precision Score
4194
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 03:31 PM |
| Views | 1 |
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% |
1238
230.1 IPS |
|
|
Image Classification (HP)
|
100% |
2345
436.1 IPS |
|
|
Image Classification (Q)
|
96% |
1589
296.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1208
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1834
29.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2176
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4931
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
11925
13.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9864
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1121
88.9 IPS |
|
|
Object Detection (HP)
|
97% |
2425
193.1 IPS |
|
|
Object Detection (Q)
|
94% |
1713
136.6 IPS |
|
|
Face Detection (SP)
|
100% |
2441
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
5008
59.5 IPS |
|
|
Face Detection (Q)
|
100% |
2734
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4653
35.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9758
75.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6654
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14555
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23531
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18970
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3294
121.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4497
166.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3320
122.6 IPS |
|
|
Text Classification (SP)
|
100% |
2483
3.31 KIPS |
|
|
Text Classification (HP)
|
99% |
4140
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4104
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3165
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6131
105.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6138
106.1 IPS |
