iPhone 13
Geekbench AI Score
3167
Single Precision Score
19783
Half Precision Score
22061
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Reseller777 |
| Upload Date | December 04 2025 01:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1237
230.0 IPS |
|
|
Image Classification (HP)
|
100% |
8600
1.60 KIPS |
|
|
Image Classification (Q)
|
96% |
10426
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1320
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11961
193.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
15447
250.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5936
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
85827
100.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
87150
102.1 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.7 IPS |
|
|
Object Detection (HP)
|
99% |
10691
850.4 IPS |
|
|
Object Detection (Q)
|
91% |
12227
977.0 IPS |
|
|
Face Detection (SP)
|
100% |
2748
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
28477
338.4 IPS |
|
|
Face Detection (Q)
|
100% |
36056
428.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5168
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51849
399.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
64697
505.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17127
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
154906
199.1 IPS |
|
|
Style Transfer (Q)
|
96% |
142088
183.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3601
133.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28130
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27985
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2565
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2427
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3498
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6225
107.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7071
122.2 IPS |
