iPhone 13
Geekbench AI Score
2790
Single Precision Score
3237
Half Precision Score
3114
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sdfwbnee |
| Upload Date | November 05 2025 10:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
565
105.1 IPS |
|
|
Image Classification (HP)
|
100% |
947
176.1 IPS |
|
|
Image Classification (Q)
|
96% |
866
161.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2220
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8957
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8211
9.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
9901
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1104
87.6 IPS |
|
|
Object Detection (HP)
|
100% |
948
75.2 IPS |
|
|
Object Detection (Q)
|
92% |
925
73.8 IPS |
|
|
Face Detection (SP)
|
100% |
3377
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
5064
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
3962
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6672
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6804
52.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6455
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16534
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19375
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19061
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2950
108.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2960
109.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2679
98.9 IPS |
|
|
Text Classification (SP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
4276
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4236
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
881
15.2 IPS |
